Day |
Start Time |
End Time |
Room |
Floor |
Type of Session |
Session Code |
Session Name |
Chairman |
Discussant |
Authors |
Title |
June 20 Morning |
8.30 |
9.30 |
Math Room |
First |
|
|
Registration |
|
|
|
|
|
9.30 |
10.00 |
5 |
First |
Plenary |
|
Welcome Address |
M. Vichi |
|
G. Ciccarone, Dean of the Faculty of Economics, Sapienza University of Rome |
|
|
|
|
|
|
|
|
|
|
|
M. Vichi, President of the Italian Statistical Society |
|
|
|
|
|
|
|
|
|
|
|
A. Giommi, President of the Scientific Program Committe |
|
|
|
|
|
|
|
|
|
|
|
G. Alleva, President of the Local Organizing Committee |
|
|
10.00 |
11.00 |
5 |
First |
Plenary |
Plenary A |
Plenary A |
N.Torelli |
|
C. Skinner |
Handling measurement error in survey estimation using accuracy indicators |
|
11.00 |
11.30 |
|
First |
Coffee Break |
|
|
|
|
|
|
|
11.30 |
13.00 |
5 |
First |
Specialized |
SSP-1.01 |
Business statistics: data producers and data users |
R. Kenett |
S. Salini |
A. Pagano, D. Perrotta, S. Arsenis |
Imputation and outlier detection in banking datasets |
|
|
|
|
|
Specialized |
SSP-1.02 |
Business statistics: data producers and data users |
R. Kenett |
S. Salini |
S. Coleman |
Something for nothing? |
|
|
|
|
|
Specialized |
SSP-1.03 |
Business statistics: data producers and data users |
R. Kenett |
S. Salini |
F. Guelpa, G. Foresti, S. Trenti |
Enterprise in a globalised context and public and private statistical setups |
|
|
|
6 A |
Ground |
Specialized |
SSP-1.02 |
Predictive Learning |
A. D'Ambrosio |
B. Scarpa |
G. Frasso, P. Eilers |
An innovative procedure for smoothing parameter selection |
|
|
|
|
|
Specialized |
SSP-1.02 |
Predictive Learning |
A. D'Ambrosio |
B. Scarpa |
M. Aria, V. Cozza |
Dynamic Classification Trees for imprecise data |
|
|
|
|
|
Specialized |
SSP-1.02 |
Predictive Learning |
A. D'Ambrosio |
B. Scarpa |
S. Amodio, J. Meulman |
Generalized boosted additive models |
|
|
|
9 |
Basement (-1) |
Specialized |
SSP-1.03 |
Recent developments in bayesian statistics |
L. Ventura |
F. De Santis |
C. Carota, M. Filippone, R. Leombruni, S. Polettini |
Disclosure risk estimation via nonparametric log-linear models |
|
|
|
|
|
Specialized |
SSP-1.03 |
Recent developments in bayesian statistics |
L. Ventura |
F. De Santis |
C. Agostinelli, L. Greco |
Weighted likelihood in Bayesian inference |
|
|
|
|
|
Specialized |
SSP-1.03 |
Recent developments in bayesian statistics |
L. Ventura |
F. De Santis |
E. Moreno, J. Giron, G. Casella, L. Martinez, F. Vazquez-Polo, M. Martel |
On consistency of Bayesian variable selection procedures |
|
|
|
6 B |
Ground |
Specialized |
SSP-1.04 |
Time series models for financial volatility |
G. Storti |
C. Hafner |
M. Caporin, E. Rossi, P. Santucci De Magistris |
Estimating jumps in volatility using realized-range measures |
|
|
|
|
|
Specialized |
SSP-1.04 |
Time series models for financial volatility |
G. Storti |
C. Hafner |
F. Cipollini, G. M. Gallo |
On the Extraction of a Common Persistent Component from Several Volatility Indicators |
|
|
|
|
|
Specialized |
SSP-1.04 |
Time series models for financial volatility |
G. Storti |
C. Hafner |
J. V. K. Rombouts, L. Stentoft, F. Violante |
The Value of Model Sophistication: DJIA Option Pricing |
|
|
|
Fanfani |
Fifth |
Specialized |
SSP-PHD |
Presentation of the best two doctoral dissertations in statistics (year 2011) |
R. Rocci |
|
|
|
|
13.00 |
14.30 |
|
Univ. Rest |
Lunch |
|
|
|
|
|
|
June 20 Afternoon |
14.30 |
16.00 |
5 |
First |
Contributed |
CS-1.01 |
Statistics and finance |
P. Giudici |
|
F. Bassi, J. G. Dias |
Longitudinal patterns of financial product ownership: a latent growth mixture approach |
|
|
|
|
|
Contributed |
CS-1.01 |
Statistics and finance |
P. Giudici |
|
R. Pappada', F. Durante |
Clustering of financial time series in extreme scenarios |
|
|
|
|
|
Contributed |
CS-1.01 |
Statistics and finance |
P. Giudici |
|
M. Brunetti, E. Giarda, C. Torricelli |
Is financial fragility a matter of illiquidity? An appraisal for Italian households |
|
|
|
|
|
Contributed |
CS-1.01 |
Statistics and finance |
P. Giudici |
|
M. Restaino, A. Amendola |
Variable selection in competing risks model |
|
|
|
6 A |
Ground |
Contributed |
CS-1.02 |
Data quality in census and surveys |
G. Ghellini |
|
A. Valentini, S. Giampaolo |
The role of Istat territorial offices for data quality control in the 15th Population and Housing Census. The case of Tuscany |
|
|
|
|
|
Contributed |
CS-1.02 |
Data quality in census and surveys |
G. Ghellini |
|
S. Belluomini, S. Carmagnini, L. Faustini, L. Porciani, C. Tessitore |
Data gathering for elusive population. The case of foreigners during the XV Italian Census. A focus on Prato |
|
|
|
|
|
Contributed |
CS-1.02 |
Data quality in census and surveys |
G. Ghellini |
|
A. Bernardini, L. De Gaetano, M. Mazziotta, L. Soriani |
The Coverage Survey of the 6th Agricultural Census |
|
|
|
8 B |
Basement (-1) |
Contributed |
CS-1.03 |
Time series analysis |
C. Perna |
|
I. L. Amerise, A. Tarsitano |
Adjusting Time Series of Possible Unequal Lengths |
|
|
|
|
|
Contributed |
CS-1.03 |
Time series analysis |
C. Perna |
|
A. Balzanella, E. Romano |
A Clustream strategy for Functional Boxplots on multiple streaming time series |
|
|
|
|
|
Contributed |
CS-1.03 |
Time series analysis |
C. Perna |
|
T. Di Fonzo |
Reconciliation of Time Series according to a Growth Rates Preservation Principle |
|
|
|
|
|
Contributed |
CS-1.03 |
Time series analysis |
C. Perna |
|
F. Giordano, M. Niglio, C. D. Vitale |
On the stationarity of the Threshold Autoregressive process: the two regimes case |
|
|
|
6 C |
Ground |
Contributed |
CS-1.04 |
Issues in small area inference |
M. Pratesi |
|
A. Bianchi |
Small area estimation for panel data |
|
|
|
|
|
Contributed |
CS-1.04 |
Issues in small area inference |
M. Pratesi |
|
M. C. Pagliarella, R. Salvatore |
The diagnostics of the mean squared error of the Eblup in small area estimation models |
|
|
|
|
|
Contributed |
CS-1.04 |
Issues in small area inference |
M. Pratesi |
|
M. G. Ranalli, A. Teodoro |
Calibration estimation in dual frame surveys |
|
|
|
|
|
Contributed |
CS-1.04 |
Issues in small area inference |
M. Pratesi |
|
S. Polettini |
A Bayesian Semiparametric Fay-Herriot-type model for Small Area Estimation |
|
|
|
6 B |
Ground |
Contributed |
CS-1.05 |
Demography: analysis and applications |
A. De Rose |
|
O. Paccagnella, C. Garrouste |
Early-life circumstances and late-life income |
|
|
|
|
|
Contributed |
CS-1.05 |
Demography: analysis and applications |
A. De Rose |
|
G. Rivellini, A. Rosina, E. Sironi |
Marital Disruption and Subjective Well-being: Evidence from an Italian Panel Survey |
|
|
|
|
|
Contributed |
CS-1.05 |
Demography: analysis and applications |
A. De Rose |
|
R. Castellano, G. Punzo, A. Rocca |
Intergenerational Mobility and Gender Gap: Evidence from Mediterranean Countries |
|
|
|
|
|
Contributed |
CS-1.05 |
Demography: analysis and applications |
A. De Rose |
|
L. Coppola, D. Quartuccio |
Partners income and decision making |
|
|
|
8 C |
Basement (-1) |
Contributed |
CS-1.06 |
Bayesian analysis |
F. De Santis |
|
D. Alunni Fegatelli |
Alternative Bayesian analysis of capture recapture data with behavioral effect modelling |
|
|
|
|
|
Contributed |
CS-1.06 |
Bayesian analysis |
F. De Santis |
|
M. M. Barbieri, B. Liseo |
An Objective Bayesian analysis of dichotomous sensitive data |
|
|
|
|
|
Contributed |
CS-1.06 |
Bayesian analysis |
F. De Santis |
|
F. Divino, G. Jona Lasinio, N. Golini |
Bayesian model of presence-only data |
|
|
|
|
|
Contributed |
CS-1.06 |
Bayesian analysis |
F. De Santis |
|
E. Ruli, L. Ventura |
Modern Bayesian Inference in Zero-Inflated Poisson Models |
|
|
|
9 |
Basement (-1) |
Contributed |
CS-1.07 |
Estimation methods |
S. Mignani |
|
M. Cattelan |
Limited Information Estimation Methods for Paired Comparison Data |
|
|
|
|
|
Contributed |
CS-1.07 |
Estimation methods |
S. Mignani |
|
R. Onorati, L. Augugliaro, A. M. Mineo |
A computational method to estimate sparce multiple Gaussian graphical models |
|
|
|
|
|
Contributed |
CS-1.07 |
Estimation methods |
S. Mignani |
|
E. Ripamonti, P. Quatto |
Confidence intervals for the Berger & Boos’ procedure in the 2x2 Binomial Trial |
|
|
|
|
|
Contributed |
CS-1.07 |
Estimation methods |
S. Mignani |
|
G. Aletti, A. Ghiglietti, A. M. Paganoni |
Randomly Reinforced Urn Designs whose Allocation Proportions Converge to Arbitrary Prespecified Values |
|
|
|
Memotef |
Fourth |
Contributed |
CS-1.08 |
Multivariate analysis |
F. Palumbo |
|
M. Bee |
A comparison of semiparametric density estimation methods for multivariate risk management |
|
|
|
|
|
Contributed |
CS-1.08 |
Multivariate analysis |
F. Palumbo |
|
M. B. Ferraro |
A prediction error for a linear regression model with fuzzy random elements |
|
|
|
|
|
Contributed |
CS-1.08 |
Multivariate analysis |
F. Palumbo |
|
R. Guseo, C. Mortarino |
Multivariate Nonlinear Least Squares: Direct and Beauchamp and Cornell Methodologies |
|
|
|
|
|
Contributed |
CS-1.08 |
Multivariate analysis |
F. Palumbo |
|
M. Scagliarini, S. Evangelisti |
Assessing Multivariate Measurement Systems in Multisite Testing |
|
|
|
Fanfani |
Fifth |
Contributed |
CS-1.09 |
Generalized likelihood methods |
G. Alleva |
|
S. Baraldo, F. Ieva, L. Mainardi, A.M. Paganoni |
Experimental design for the estimation of Rician-distributed intensity fields in MRI |
|
|
|
|
|
Contributed |
CS-1.09 |
Generalized likelihood methods |
G. Alleva |
|
F. Rotolo, C. Legrand |
Frailty Multi-State Models based on Maximum Penalized Partial Likelihood |
|
|
|
|
|
Contributed |
CS-1.09 |
Generalized likelihood methods |
G. Alleva |
|
V. Sambucini, L. Piccinato |
Ridge analysis through profile likelihoods |
|
|
|
Master |
Fifth |
Contributed |
CS-1.10 |
Testing statistical hypotheses |
M. Carpita |
|
M. Gerolimetto, I. Procidano |
Bayesian Unit Root Tests: a Monte Carlo Study |
|
|
|
|
|
Contributed |
CS-1.10 |
Testing statistical hypotheses |
M. Carpita |
|
D. De Martini, L. De Capitani |
Reproducibility Probability Estimation and Testing for some common nonparametric tests |
|
|
|
|
|
Contributed |
CS-1.10 |
Testing statistical hypotheses |
M. Carpita |
|
F. Greselin, A. Punzo |
Closed Likelihood-Ratio Testing Procedures to Assess Similarity of Covariance Matrices |
|
|
|
|
|
Contributed |
CS-1.10 |
Testing statistical hypotheses |
M. Carpita |
|
N. Lunardon, E. Ronchetti |
Nonparametric saddlepoint test and pairwise likelihood inference |
|
16.00 |
16.30 |
|
First |
Coffee Break |
|
|
|
|
|
|
|
16.30 |
18.00 |
5 |
First |
Solicited |
SOLL-1.01 |
Data Mining in Official Statistics |
E. Di Meglio |
|
M. Hudec |
Dynamically modelling of fuzzy sets for flexible data retrieval |
|
|
|
|
|
Solicited |
SOLL-1.01 |
Data Mining in Official Statistics |
E. Di Meglio |
|
M. Marino, G. Scepi, C. Tortora |
Factor PD-Co-clustering in Official Statistics |
|
|
|
|
|
Solicited |
SOLL-1.01 |
Data Mining in Official Statistics |
E. Di Meglio |
|
A. Stawinoga, M. Spano, N. Triunfo |
Extracting meta-information by using Network Analysis tools |
|
|
|
|
|
Solicited |
SOLL-1.01 |
Data Mining in Official Statistics |
E. Di Meglio |
|
S. Bolasco, P. Pavone |
How the text mining measures complex phenomena in official statistics |
|
|
|
6 A |
Ground |
Solicited |
SOLL-1.02 |
Rating models for reputation analysis |
P. Giudici |
|
D. Checchi, S. Salini |
Labour market response models for university evaluation |
|
|
|
|
|
Solicited |
SOLL-1.02 |
Rating models for reputation analysis |
P. Giudici |
|
S. Figini |
Bayesian model averaging for financial evaluation |
|
|
|
|
|
Solicited |
SOLL-1.02 |
Rating models for reputation analysis |
P. Giudici |
|
T. Bellini, L. Grossi |
A Statistical Framework to Measure Reputation Risk |
|
|
|
|
|
Solicited |
SOLL-1.02 |
Rating models for reputation analysis |
P. Giudici |
|
P. Cerchiello |
Ordinal Models for Financial Evaluation |
|
|
|
6 B |
Ground |
Solicited |
SOLL-1.03 |
Data Imputation methods |
M. Aria |
|
A. Piscitelli, A. D'Ambrosio |
Assessing assumptions for data fusion procedures |
|
|
|
8 C |
Basement (-1) |
Solicited |
SOLL-1.03 |
Data Imputation methods |
M. Aria |
|
A. Plaia, F. Di Salvo, M. Ruggieri, G. Agro' |
Filling in long gap sequences by performing EOF and FDA jointly |
|
|
|
|
|
Solicited |
SOLL-1.03 |
Data Imputation methods |
M. Aria |
|
A. D'Ambrosio |
Missing Data Imputation within the Statistical learning Paradigm |
|
|
|
6 C |
Ground |
Solicited |
SOLL-1.04 |
Graphical models: some recent advances |
E. Stanghellini |
|
M. Lupparelli, L. La Rocca |
Binary models of marginal independence: a comparison of different approaches |
|
|
|
|
|
Solicited |
SOLL-1.04 |
Graphical models: some recent advances |
E. Stanghellini |
|
M. Valtorta, E. S. Allman, J. A. Rhodes |
Identifiability of Discrete Graphical Models with Hidden Variables |
|
|
|
|
|
Solicited |
SOLL-1.04 |
Graphical models: some recent advances |
E. Stanghellini |
|
B. Vantaggi |
Identifiability of hierarchical loglinear models with one hidden binary variable |
|
|
|
8 B |
Basement (-1) |
Solicited |
SOLL-1.05 |
Circular data analysis |
M. Di Marzio |
|
A. Pewsey |
Inverse Batschelet Distributions as Models for Circular Data |
|
|
|
|
|
Solicited |
SOLL-1.05 |
Circular data analysis |
M. Di Marzio |
|
C. Agostinelli, M. Romanazzi |
Depth Analysis of Directional Data |
|
|
|
|
|
Solicited |
SOLL-1.05 |
Circular data analysis |
M. Di Marzio |
|
J. T. Kent, A. M. Ganeiber |
Simulation of random rotation matrices |
|
|
|
|
|
Solicited |
SOLL-1.05 |
Circular data analysis |
M. Di Marzio |
|
A. Panzera, C. C. Taylor |
Nonparametric smoothing of circular data |
|
|
|
8 C |
Basement (-1) |
Solicited |
SOLL-1.06 |
New trends in Computers Models and Experiments |
G. Vicario |
|
R. Berni, F. M. Stefanini |
Bayesian T-optimal designs by simulation: a case-study on model discrimination |
|
|
|
|
|
Solicited |
SOLL-1.06 |
New trends in Computers Models and Experiments |
G. Vicario |
|
R. Fontana, F. Rapallo, M. P. Rogantin |
From Markov moves in contingency tables to linear model estimability |
|
|
|
|
|
Solicited |
SOLL-1.06 |
New trends in Computers Models and Experiments |
G. Vicario |
|
J. Fruth, S. Kuhnt |
Sensitivity Analysis and FANOVA Graphs for Computer Experiments |
|
|
|
9 |
Basement (-1) |
Solicited |
SOLL-1.07 |
Contribution of Administrative Data to Population and Business Censuses |
M. Fortini |
|
S. Hirner |
The use of adminitrative registers in the 2011 Census in Germany |
|
|
|
|
|
Solicited |
SOLL-1.07 |
Contribution of Administrative Data to Population and Business Censuses |
M. Fortini |
|
A. Reale, F. Torti, M. Riani |
Robust methods for correction and control of Italian Agriculture Census data |
|
|
|
|
|
Solicited |
SOLL-1.07 |
Contribution of Administrative Data to Population and Business Censuses |
M. Fortini |
|
M. Calzaroni, C. Viviano |
The industry and services continuous census” based on administrative sources: opportunities and problems |
|
|
|
Memotef |
Fourth |
Specialized |
SSP-1.05 |
Session organized by the Societe' Francaise de Statistique |
J. M. Poggi |
F. Pauli |
V. Rivoirard |
Nonparametric estimation of the division rate of a size-structured population |
|
|
|
|
|
Specialized |
SSP-1.05 |
Session organized by the Societe' Francaise de Statistique |
J. M. Poggi |
F. Pauli |
L. Bel |
Conditional simulations for spatial max-stable processes for climate applications |
|
|
|
|
|
Specialized |
SSP-1.05 |
Session organized by the Societe' Francaise de Statistique |
J. M. Poggi |
F. Pauli |
J. M. Poggi |
PM10 forecasting using mixture linear regression models |
|
|
|
Fanfani |
Fifth |
Specialized |
SSP-JR |
Round Table - Publish or perish: the long way towards publication of results in statistical research |
F. Ieva |
|
|
|
|
18.00 |
19.00 |
B. Bandinelli |
Near Car Park |
Poster |
|
|
|
|
M. Guidolin, R. Guseo |
Modelling seasonality in innovation diffusion: A regressive approach |
|
|
|
|
|
Poster |
|
|
|
|
C. Giusti, S. Marchetti,M. Pratesi, N. Salvati |
M-quantile small area models when auxiliary variables are measured with error |
|
|
|
|
|
Poster |
|
|
|
|
R. Chambers, N. Salvati, N. Tzavidis |
M-quantile Regression for Binary Data with Application to Small Area Estimation |
|
|
|
|
|
Poster |
|
|
|
|
F. Bacchini, D. Chianella, R. D. Cinelli, R. Iannaccone, V. Quondamstefano |
Quarterly turnover index for new services sectors |
|
|
|
|
|
Poster |
|
|
|
|
S. Da Valle, L. Faustini, C. Tessitore, A. Valentini |
Integration between old and new results of the Population and Housing Census in Italy. An information system for Tuscany |
|
|
|
|
|
Poster |
|
|
|
|
E. Di Nardo |
k-statistics: from simple random sampling to spectral sampling via moment symbolic calculus. |
|
|
|
|
|
Poster |
|
|
|
|
A. Coli, F. Tartamella |
Measuring the impact of the non-observed economy on the households’ income distribution |
|
|
|
|
|
Poster |
|
|
|
|
A. De Rose, A. De Pascale, E. Santarelli |
Household types and economic conditions in Europe: evidence from Eu-Silc |
|
|
|
|
|
Poster |
|
|
|
|
D. Ballanti, F. Alivernini, L. Benedetti, A. Cacciamani, M. Mastracci |
Analisi delle leve di competizione per il raggiungimento di una performance economica di forte crescita nel comparto manifatturiero |
|
|
|
|
|
Poster |
|
|
|
|
L. Faustini, P. Manfredi , D. Panatto |
Computing sexual contact patterns by individual based simulation |
|
|
|
|
|
Poster |
|
|
|
|
E. Fazio |
Identification of local tourist systems in sicily by the application of the cluster analysis algorithm with spatially contiguity constraint |
|
|
|
|
|
Poster |
|
|
|
|
C. Brambilla, F. Ruggeri, C. Siu |
The hybrid classical-Bayesian approach: some examples related to clinical trials design and monitoring |
|
|
|
|
|
Poster |
|
|
|
|
M. Bencivenga, F. Lagona, A. Maruotti, G. Nardone, M. Picone |
Unsupervised classication for the identification of sea regimes |
|
|
|
|
|
Poster |
|
|
|
|
A. Ronconi, S. Giavante, M. Fortini |
2011 Population and housing census - Preliminary results: resident population estimates for large municipalities |
|
|
|
|
|
Poster |
|
|
|
|
M. Broccoli, D. De Francesco, D. Fusco, P. Giordano, V. Moretti, F. Mortara |
Measuring the multifunctionality in agriculture: a synthetic index construction |
|
|
|
|
|
Poster |
|
|
|
|
D. Bonardo, G. Di Bella, L. Galiè, M. Scalisi, V. Talucci |
Combining education and labour market data |
|
|
|
|
|
Poster |
|
|
|
|
M. Brondi, A. Franzò, A. Laureti Palma, M. Masselli, A. Nuccitelli |
Using log data to study the effectiveness of a Web questionnaire: the case of the Italian business Research and Development Survey |
|
|
|
|
|
Poster |
|
|
|
|
E. Ambrosetti, R. Cagiano De Azevedo, C. Giudici, F. Mazzarelli, A. Paparusso |
Population mobility and multidimensional borders |
|
|
|
|
|
Poster |
|
|
|
|
N. Brouard, E. Ambrosetti, A. Désesquelles, G. Duthé, C. Giudici, J. Larmarange, F. Meslé, Demopedia Team |
DEMOPEDIA: an open encyclopedia on demography based on the UN/IUSSP Multilingual Demographic Dictionary |
|
|
|
|
|
Poster |
|
|
|
|
M. Giacalone, G. Avena |
Aspetti statistici e ripercussioni economiche dei reati informatici e telematici |
|
19.00 |
|
B. Bandinelli |
Near Car Park |
Cocktail |
|
|
|
|
|
|
June 21 Morning |
8.30 |
10.00 |
6 C |
Ground |
Solicited |
SOLL-2.01 |
Item response theory |
M. Attanasio |
|
F. Aiello, G. Boscaino, M. Mandala' |
Do personal characteristics affect the Rasch measures of perceived physical risk? A quantile regression approach. |
|
|
|
|
|
Solicited |
SOLL-2.01 |
Item response theory |
M. Attanasio |
|
S. Bacci, F. Bartolucci, B. Bertaccini |
Modeling nonignorable missingness in multidimensional latent class IRT models |
|
|
|
|
|
Solicited |
SOLL-2.01 |
Item response theory |
M. Attanasio |
|
V. Caviezel, S. Ortobelli Lozza, L. Bertoli Barsotti |
Risk profile versus portfolio selection: a case study |
|
|
|
9 |
Basement (-1) |
Solicited |
SOLL-2.02 |
Integrating microeconomic data sources for the analisis of performance of productive system |
R. Monducci. |
|
G. Dosi, M. Grazzi, F. Tamagni, C. Tomasi |
The micro economics of trade patterns and firm performances |
|
|
|
|
|
Solicited |
SOLL-2.02 |
Integrating microeconomic data sources for the analisis of performance of productive system |
R. Monducci. |
|
F. Cerroni, V. De Giorgi, M. Mantuano |
The integration of administrative data to analyse the business economic performance: methodological aspects and results of a study |
|
|
|
|
|
Solicited |
SOLL-2.02 |
Integrating microeconomic data sources for the analisis of performance of productive system |
R. Monducci. |
|
M. Ferrante, M. Freo, A. Viviani |
The post-entry effect of exporting on productivity: inference on the conterfactual distribution |
|
|
|
|
|
Solicited |
SOLL-2.02 |
Integrating microeconomic data sources for the analisis of performance of productive system |
R. Monducci. |
|
F. Oropallo, S. Rossetti |
Data Integration and Productivity Estimation at a Firm Level |
|
|
|
Fanfani |
Fifth |
Solicited |
SOLL-2.03 |
The time of the oldest old |
G. Cavrini |
|
E. Barbi |
Patterns of Mortality Decline and Individual Ageing: An Overview |
|
|
|
|
|
Solicited |
SOLL-2.03 |
The time of the oldest old |
G. Cavrini |
|
R. Miglio, P. Gueresi |
Survival predictive models in centenarians |
|
|
|
|
|
Solicited |
SOLL-2.03 |
The time of the oldest old |
G. Cavrini |
|
G. Cavrini, C. Di Priamo, L. Sicuro, A. Battisti, A. Solicapa, G. De Girolamo |
Health status in over 85 years old living in Residential Facilities in Italy |
|
|
|
8 C |
Basement (-1) |
Solicited |
SOLL-2.04 |
Survival and prevalence |
M. Mezzetti |
|
S. Galimberti |
Multivariate Permutation Test to Compare Survival Curves for Matched Data |
|
|
|
|
|
Solicited |
SOLL-2.04 |
Survival and prevalence |
M. Mezzetti |
|
L. Ventura |
Estimating the incidence of cancer disease using a Bayesian backcalculation approach |
|
|
|
|
|
Solicited |
SOLL-2.04 |
Survival and prevalence |
M. Mezzetti |
|
A. B. Mariotto, R. De Angelis, L. Martina |
Estimating the prevalence of cancer patients who have recurred |
|
|
|
|
|
Solicited |
SOLL-2.04 |
Survival and prevalence |
M. Mezzetti |
|
S. Francisci, A. Gigli |
Patterns of care and related costs of cancer prevalent cases by phase of disease |
|
|
|
6 A |
Ground |
Solicited |
SOLL-2.05 |
Program evaluation: insights from applications in the social and biomedical sciences |
L. Grilli |
|
B. Arpino, A. Mattei |
Assessing the Impact of Financial Aids to Firms: Causal Inference in the presence of Interference |
|
|
|
|
|
Solicited |
SOLL-2.05 |
Program evaluation: insights from applications in the social and biomedical sciences |
L. Grilli |
|
F. Bartolucci, L. Grilli, L. Pieroni |
Inverse probability weighting to estimate causal effects of sequential treatments: a latent class extension to deal with unobserved confounding |
|
|
|
|
|
Solicited |
SOLL-2.05 |
Program evaluation: insights from applications in the social and biomedical sciences |
L. Grilli |
|
E. Pasquali, M. Evans, J. Carrero, R. Bellocco |
Application of Marginal Structural Models in Chronic Kidney Disease (CKD) Epidemiology: practical implementation in the Swedish National CKD Registry |
|
|
|
5 |
First |
Solicited |
SOLL-2.06 |
Recent advances in Bayesian computation |
B. Liseo |
|
R. Casarin, R. Craiu, F. Leisen |
Interacting Multiple Try Algorithms |
|
|
|
|
|
Solicited |
SOLL-2.06 |
Recent advances in Bayesian computation |
B. Liseo |
|
L. Ventura, W. Racugno |
Higher-order asymptotics in Bayesian inference |
|
|
|
|
|
Solicited |
SOLL-2.06 |
Recent advances in Bayesian computation |
B. Liseo |
|
G. S. Datta, A. Mandal, A. Wanjoya |
Small Area Estimation with Uncertain Random Effects |
|
|
|
8 B |
Basement (-1) |
Solicited |
SOLL-2.07 |
Statistical methods for ordinal data |
P. Sarnacchiaro |
|
L. Grilli, M. Iannario, D. Piccolo, C. Rampichini |
Latent Class CUB Models |
|
|
|
|
|
Solicited |
SOLL-2.07 |
Statistical methods for ordinal data |
P. Sarnacchiaro |
|
A. Simonetto |
Formative and reflective models to determine latent construct |
|
|
|
|
|
Solicited |
SOLL-2.07 |
Statistical methods for ordinal data |
P. Sarnacchiaro |
|
M. Gallo |
Log-ratios analysis to study the relative information of ordinal variables |
|
|
|
|
|
Solicited |
SOLL-2.07 |
Statistical methods for ordinal data |
P. Sarnacchiaro |
|
G. Boari, G. Cantaluppi |
A PLS algorithm version working with ordinal variables |
|
|
|
6 B |
Ground |
Specialized |
SSP-2.04 |
Spatial and Spatio-temporal Statistics - On behalf of the Spanish Statistical Society |
L. Ugarte |
G. Jona Lasinio |
P. Delicado, S. Broner |
LISA map based on distances for functional data |
|
|
|
|
|
Specialized |
SSP-2.04 |
Spatial and Spatio-temporal Statistics - On behalf of the Spanish Statistical Society |
L. Ugarte |
G. Jona Lasinio |
M.D. Ugarte, T. Goicoa, J. E. Etxeberria, A.F. Militino |
Smoothing mortality risks in space and time using flexible models |
|
|
|
|
|
Specialized |
SSP-2.04 |
Spatial and Spatio-temporal Statistics - On behalf of the Spanish Statistical Society |
L. Ugarte |
G. Jona Lasinio |
J. M. Angulo, A. E. Madrid |
Geometrical approaches to the analysis of theshold exceedances |
|
10.00 |
11.00 |
5 |
First |
Plenary |
Plenary B |
Plenary B |
A. Giommi |
|
M. Vichi |
Research advances and new challenges in Cluster Analysis |
|
11.00 |
11.30 |
|
First |
Coffe Break |
|
|
|
|
|
|
|
11.30 |
13.00 |
9 |
Basement (-1) |
Specialized |
SSP-2.01 |
Monitoring the crisis: official statistics for timely decision making |
A. Righi |
G.P. Oneto |
G. L. Mazzi, F. Moauro, R. Ruggeri Cannata |
A statistical overview of the economic situation in the euro area |
|
|
|
|
|
Specialized |
SSP-2.01 |
Monitoring the crisis: official statistics for timely decision making |
A. Righi |
G.P. Oneto |
F. Bacchini et al. |
The Italian Statistical Institute Macroeconometric Model - MEMo-It |
|
|
|
|
|
Specialized |
SSP-2.01 |
Monitoring the crisis: official statistics for timely decision making |
A. Righi |
G.P. Oneto |
G. De Blasio, M. Sorcioni |
Employment outcomes of short-time work scheme and unemployment insurance program beneficiaries: a longitudinal approach |
|
|
|
6 B |
Ground |
Specialized |
SSP-2.02 |
Advances in sampling design and estimation |
P. F. Perri |
P.L. Conti |
R. Lehtonen, A. Veijanen |
Recent Advances in Estimation of Poverty Indicators for Domains and Small Areas |
|
|
|
|
|
Specialized |
SSP-2.02 |
Advances in sampling design and estimation |
P. F. Perri |
P.L. Conti |
L. Fattorini |
Forest Inventories: Multi-Phase Sampling Strategies for Estimating Forest and Non-Forest Resources Over Large Areas |
|
|
|
|
|
Specialized |
SSP-2.02 |
Advances in sampling design and estimation |
P. F. Perri |
P.L. Conti |
P. D. Falorsi, P. Righi |
A Unified Approach for Defining Optimal Multivariate and Multi-Domains Sampling Designs |
|
|
|
Fanfani |
Fifth |
Specialized |
SSP-2.03 |
Recent advances in causal inference |
F. Mealli |
E. Rettore |
S. Vansteelandt |
Dealing with complex problems of confounding in mediation analysis |
|
|
|
|
|
Specialized |
SSP-2.03 |
Recent advances in causal inference |
F. Mealli |
E. Rettore |
M. Fort |
Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations |
|
|
|
|
|
Specialized |
SSP-2.03 |
Recent advances in causal inference |
F. Mealli |
E. Rettore |
F. Li, A. Mattei, F. Mealli |
Bayesian inference for causal effects in randomized experiments with noncompliance: The role of multivariate outcomes |
|
|
|
5 |
First |
Specialized |
SSP-2.05 |
Contemporary methods of robust statistics - On behalf of the German Statistical Society |
G. Frahm |
C. Agostinelli |
G. Frahm |
M-Estimation of Shape Matrices under Incomplete and Serially Dependent Data |
|
|
|
|
|
Specialized |
SSP-2.05 |
Contemporary methods of robust statistics - On behalf of the German Statistical Society |
G. Frahm |
C. Agostinelli |
R. Dyckerhoff |
Convergence of Depths and Depth-Trimmed Regions |
|
|
|
|
|
Specialized |
SSP-2.05 |
Contemporary methods of robust statistics - On behalf of the German Statistical Society |
G. Frahm |
C. Agostinelli |
K. Nordhausen |
On Robustifying Some Blind Source Separation Methods for Second Order Nonstationary Data |
|
13.00 |
14.30 |
|
Univ. Rest |
Lunch |
|
|
|
|
|
|
June 21 Afternoon |
14.30 |
16.00 |
8 B |
Basement (-1) |
Contributed |
CS-2.01 |
Spatial analysis |
C. Crocetta |
|
F. Lagona |
A von Mises Markov random field model for the analysis of spatial circular data |
|
|
|
|
|
Contributed |
CS-2.01 |
Spatial analysis |
C. Crocetta |
|
L. M. Sangalli, J. O. Ramsay |
A novel method for spatial smoothing |
|
|
|
|
|
Contributed |
CS-2.01 |
Spatial analysis |
C. Crocetta |
|
L. Azzimonti, M. Domanin, L. M. Sangalli, P. Secchi |
PDE penalization for spatial fields smoothing |
|
|
|
|
|
Contributed |
CS-2.01 |
Spatial analysis |
C. Crocetta |
|
B. Ettinger, S. Perotto, L.M. Sangalli |
Spatial smoothing over non-planar domains |
|
|
|
6 A |
Ground |
Contributed |
CS-2.02 |
Estimation and imputation in surveys |
G. Coccia |
|
F. Del Greco, C. Pattaro, C. Minelli, P.P. Pramstaller, J. R. Thompson |
A multiple imputation procedure of censored values in family-based genetic association studies |
|
|
|
|
|
Contributed |
CS-2.02 |
Estimation and imputation in surveys |
G. Coccia |
|
S. Jolani, S. Van Buuren, L. E. Frank |
Combining the complete-data and nonresponse models for drawing imputations under MAR |
|
|
|
|
|
Contributed |
CS-2.02 |
Estimation and imputation in surveys |
G. Coccia |
|
M. Scarno', B. Canolli, S. Muriqi, H. Ferizi |
Data imputation processes based on statistical analysis |
|
|
|
6 C |
Ground |
Contributed |
CS-2.03 |
Statistical methods for financial data |
S. Fachin |
|
A. Amendola, G. Storti |
A comparison of different procedures for combining high-dimensional multivariate volatility forecasts |
|
|
|
|
|
Contributed |
CS-2.03 |
Statistical methods for financial data |
S. Fachin |
|
A. F. Pierini, A. Naccarato |
A Multivariate VEC-BEKK Model for Portfolio Selection |
|
|
|
|
|
Contributed |
CS-2.03 |
Statistical methods for financial data |
S. Fachin |
|
A.M. Fiori, D. Beltrami |
Asymptotic estimation of right and left kurtosis measures, with applications to finance |
|
|
|
Fanfani |
Fifth |
Contributed |
CS-2.04 |
Well-being and poverty - I |
G. De Santis |
|
A. Giovagnoli |
Social welfare orderings of the Generalized-Lorenz Type: applications of an extended equivalence theorem |
|
|
|
|
|
Contributed |
CS-2.04 |
Well-being and poverty - I |
G. De Santis |
|
I. Santini, A. De Pascale |
Social capital and its impact on poverty reduction: measurement issues in logitudinal and cross-country comparisons. The case of UE |
|
|
|
|
|
Contributed |
CS-2.04 |
Well-being and poverty - I |
G. De Santis |
|
S. Terzi |
How to integrate macro and micro perspectives: an example on Human Development and Multidimensional Poverty. |
|
|
|
|
|
Contributed |
CS-2.04 |
Well-being and poverty - I |
G. De Santis |
|
C. Ferrara, F. Martella, M. Vichi |
Dimension of well being and their statistical measurements |
|
|
|
6 B |
Ground |
Contributed |
CS-2.05 |
Estimation in sample surveys |
D. Cocchi |
|
I. Rocchetti, D. Bohning, M. Alfo' |
Regression estimators for capure-recapture frequency data |
|
|
|
|
|
Contributed |
CS-2.05 |
Estimation in sample surveys |
D. Cocchi |
|
C. De Vitis, S. Falorsi, F. Inglese, M. Russo |
Estimating the Homeless Population through Indirect Sampling and Weight Sharing Method |
|
|
|
|
|
Contributed |
CS-2.05 |
Estimation in sample surveys |
D. Cocchi |
|
G. E. Montanari, G. Cicchitelli |
On the Design Based Inference for Continuous Spatial Populations |
|
|
|
|
|
Contributed |
CS-2.05 |
Estimation in sample surveys |
D. Cocchi |
|
F. Inglese, T. Tuoto |
Ensuring comparability over time and between domains by means of complex sample techniques |
|
|
|
8 C |
Basement (-1) |
Contributed |
CS-2.06 |
Bayesian inference |
W. Racugno |
|
B. Liseo, A. Parisi |
Bayesian inference for the multivariate skew-normal model: a Population Monte Carlo approach |
|
|
|
|
|
Contributed |
CS-2.06 |
Bayesian inference |
W. Racugno |
|
L. Bisaglia, A. Canale |
Bayesian nonparametric predictions for count time series |
|
|
|
|
|
Contributed |
CS-2.06 |
Bayesian inference |
W. Racugno |
|
P. Brutti, F. De Santis, S. Gubbiotti |
On a predictive measure of discrepancy between classical and Bayesian estimators |
|
|
|
Memotef |
Fourth |
Contributed |
CS-2.07 |
Biometrical studies |
A. De Carli |
|
M. Cannas, E. Sironi |
Variation in Obstetric Intervention Rates across Hospitals in Sardinia |
|
|
|
|
|
Contributed |
CS-2.07 |
Biometrical studies |
A. De Carli |
|
F. Ieva, A. M. Paganoni |
Depth measures for the study of real and simulated ECG signals |
|
|
|
|
|
Contributed |
CS-2.07 |
Biometrical studies |
A. De Carli |
|
M. Marchi, S. Del Sarto, G. Rossi |
A Simple Risk-Adjusted CUSUM chart for monitoring binary health data |
|
|
|
|
|
Contributed |
CS-2.07 |
Biometrical studies |
A. De Carli |
|
C. Furlan, C. Mortarino |
Sensitivity analysis on a Cellular Automata model for the diffusion of Pleural Mesothelioma |
|
|
|
Master |
Fifth |
Contributed |
CS-2.08 |
Methods for economic issues |
F. Mealli |
|
E. Raffinetti |
Ordinal Lorenz Regression with Application in Customer Satisfaction Surveys |
|
|
|
|
|
Contributed |
CS-2.08 |
Methods for economic issues |
F. Mealli |
|
J. Juriova |
Neural Network Approach Applied for Classification in Business and Trade Statistics |
|
|
|
|
|
Contributed |
CS-2.08 |
Methods for economic issues |
F. Mealli |
|
M. Klucik |
Estimates of Foreign Trade Using Genetic Programming |
|
|
|
|
|
Contributed |
CS-2.08 |
Methods for economic issues |
F. Mealli |
|
S. Auci, A. Castelli, D. Vignani |
Stochastic Frontiers Approach: an Empirical Analysis of Italian Environmental Spending |
|
|
|
9 |
Basement (-1) |
Contributed |
CS-2.09 |
Migration and integration |
S. Biffignandi |
|
B. Cassani, C. Giudici, R. Rizzi |
Immigrant entrepreneurship through the economic crisis in Italy |
|
|
|
|
|
Contributed |
CS-2.09 |
Migration and integration |
S. Biffignandi |
|
P. Di Giulio, C. Reynaud, L. Vergaglia |
How internal and international migrations shape the age structure of the Italian regions, 1955-2008 |
|
|
|
|
|
Contributed |
CS-2.09 |
Migration and integration |
S. Biffignandi |
|
A. Paggiaro |
Matching immigrant and native workers: evidence from the recent downturn in Italy |
|
|
|
|
|
Contributed |
CS-2.09 |
Migration and integration |
S. Biffignandi |
|
A. Scagni |
Migrant students classroom allocation policy in Italian schools |
|
|
|
5 |
First |
Contributed |
CS-2.10 |
Multilevel and latent variable models |
P. Ferrari |
|
M. Manisera, M. Vezzoli |
Multilevel algorithmic models to measure item importance on latent variables' indicators |
|
|
|
|
|
Contributed |
CS-2.10 |
Multilevel and latent variable models |
P. Ferrari |
|
I. Romeo, M. Raffinetti |
School tracking and equality of opportunity in a multilevel perspective |
|
|
|
|
|
Contributed |
CS-2.10 |
Multilevel and latent variable models |
P. Ferrari |
|
S. Bacci, F. Bartolucci, L. Pieroni |
Causal analysis of education and birth inequalities through a latent class SEM |
|
|
|
|
|
Contributed |
CS-2.10 |
Multilevel and latent variable models |
P. Ferrari |
|
B. Arpino, F. Billari, M. Cannas |
Machine learning techniques for Propensity score matching with clustered data. A simulation study. |
|
16.00 |
16.30 |
|
First |
Coffe Break |
|
|
|
|
|
|
|
16.30 |
18.00 |
5 |
First |
|
SSP-CD |
Activities and projects of the Italian Statistical Society |
R. Rocci |
|
|
|
|
18.00 |
19.00 |
5 |
First |
|
SIS General Assembly |
|
|
|
|
|
|
19.30 |
|
|
|
Social Dinner(*) |
|
(*) Cloister of the Faculty of Engineering, Via Eudossiana, 18 |
|
|
|
|
June 22 Morning |
8.30 |
10.00 |
8 B |
Basement (-1) |
Solicited |
SOLL-3.01 |
Better integrating geographic information and statistics |
E. Carfagna |
|
C. Bocci, A. Petrucci, E. Rocco |
A two part geoadditive model for geographical domain estimation |
|
|
|
|
|
Solicited |
SOLL-3.01 |
Better integrating geographic information and statistics |
E. Carfagna |
|
J. Gallego, M. El-Aydam |
Using coarse resolution satellite images for crop area estimation: benchmarking their efficiency |
|
|
|
|
|
Solicited |
SOLL-3.01 |
Better integrating geographic information and statistics |
E. Carfagna |
|
L. Barabesi, S. Franceschi, M. Marcheselli |
How to select sample sites onto a study area? |
|
|
|
6 A |
Ground |
Solicited |
SOLL-3.02 |
Evaluation and quality in the university system |
N. Tedesco |
|
M. Porcu, I. Sulis |
Comparing degree programs using unadjusted performance indicators. Assessing the bias from the Potential Confounding Factors |
|
|
|
|
|
Solicited |
SOLL-3.02 |
Evaluation and quality in the university system |
N. Tedesco |
|
L. Grilli, C. Rampichini, R. Varriale |
University admission test and students’ careers: an analysis through a regression chain graph with a hurdle model for the credits |
|
|
|
|
|
Solicited |
SOLL-3.02 |
Evaluation and quality in the university system |
N. Tedesco |
|
M. Attanasio, M. Enea |
Bivariate logistic models for the analysis of the Students University “Success” |
|
|
|
|
|
Solicited |
SOLL-3.02 |
Evaluation and quality in the university system |
N. Tedesco |
|
L. Masserini, M. Pratesi |
University of Pisa and academic performance: a sample survey on students with no exams in 2011 |
|
|
|
6 C |
Ground |
Solicited |
SOLL-3.03 |
Robustness issues in complex data analysis |
M. La Rocca |
|
M. Riani, A. Cerioli, M.A. Milioli, G. Morelli |
A comparison of robust methods with small sample experimental data |
|
|
|
|
|
Solicited |
SOLL-3.03 |
Robustness issues in complex data analysis |
M. La Rocca |
|
C. Agostinelli, R. A. Maronna, V.J. Yohai |
Robust estimation for multivariate data under the independent contamination model |
|
|
|
|
|
Solicited |
SOLL-3.03 |
Robustness issues in complex data analysis |
M. La Rocca |
|
P. Coretto |
Adaptive robust location-scale estimation |
|
|
|
|
|
Solicited |
SOLL-3.03 |
Robustness issues in complex data analysis |
M. La Rocca |
|
G. Porzio, G. Ragozini, S. Liebscher, T. Kirschstein |
Minimum Volume Peeling: a Multivariate Mode Estimator |
|
|
|
8 C |
Basement (-1) |
Solicited |
SOLL-3.04 |
Approximate likelihood methods for highly-structured statistical models |
P. Vidoni |
|
L. Ippoliti, L. Romagnoli |
Kalman Filter for Maximum Likelihood Estimation of GMRFs |
|
|
|
|
|
Solicited |
SOLL-3.04 |
Approximate likelihood methods for highly-structured statistical models |
P. Vidoni |
|
S. Bianconcini, S. Cagnone, D. Rizopoulos |
A Dimension Reduction Method for Approximating Integrals in Latent Variable Models for Binary Data |
|
|
|
|
|
Solicited |
SOLL-3.04 |
Approximate likelihood methods for highly-structured statistical models |
P. Vidoni |
|
M. Minozzo, C. Ferrari |
Monte Carlo Likelihood Inference in Multivariate Model-Based Geostatistics |
|
|
|
|
|
Solicited |
SOLL-3.04 |
Approximate likelihood methods for highly-structured statistical models |
P. Vidoni |
|
A. Davison, S. Padoan, M. Ribatet |
Statistical Modelling of Spatial Extremes |
|
|
|
6 B |
Ground |
Solicited |
SOLL-3.05 |
Statistical methods for network data |
R. Bellio, S. Zaccarin |
|
A. Petrucci, E. Rocco |
Statistical models for virtual water network analysis |
|
|
|
|
|
Solicited |
SOLL-3.05 |
Statistical methods for network data |
R. Bellio, S. Zaccarin |
|
D. De Stefano |
Graph embedding via dissimilarity mapping for network comparison |
|
|
|
|
|
Solicited |
SOLL-3.05 |
Statistical methods for network data |
R. Bellio, S. Zaccarin |
|
V. Amati |
New Statistics for Estimating the Parameter of the Stochastic Actor-Oriented Model |
|
|
|
|
|
Solicited |
SOLL-3.05 |
Statistical methods for network data |
R. Bellio, S. Zaccarin |
|
A. Abbruzzo, E. Wit |
Factorial Graphical Lasso and Slowly Changing Graphical Models for Estimating Dynamic Networks |
|
|
|
9 |
Basement (-1) |
Solicited |
SOLL-3.06 |
Frequency domain analysis |
A. Luati |
|
S. Pollock |
Cycles Syllogisms and Semantics: Examining the Idea of Spurious Cycles |
|
|
|
|
|
Solicited |
SOLL-3.06 |
Frequency domain analysis |
A. Luati |
|
Matteo Farne' |
Different estimators of the spectral matrix: an empirical comparison. Testing a new shrinkage estimator |
|
|
|
|
|
Solicited |
SOLL-3.06 |
Frequency domain analysis |
A. Luati |
|
M. Donatelli, A. Luati, A. Martinelli |
Spectral filtering for trend estimation |
|
|
|
Fanfani |
Fifth |
Solicited |
SOLL-3.07 |
Family demography and well being |
D. Vignoli |
|
A. Baranowska-Rataj, A. Matysiak |
Which family model makes couples more happy - dual earner or male breadwinner ? |
|
|
|
|
|
Solicited |
SOLL-3.07 |
Family demography and well being |
D. Vignoli |
|
S. Montecolle, F. Rinesi, A. Tinto |
Family structures and subjective wellbeing in Italy |
|
|
|
|
|
Solicited |
SOLL-3.07 |
Family demography and well being |
D. Vignoli |
|
P. Li Donni, D. Mendola |
Socioeconomic determinants of persistence in poor subjective health |
|
10.00 |
11.00 |
5 |
First |
Plenary |
Plenary C |
Plenary C |
G. De Santis |
|
M. Breschi |
Integrating micro and macro data in historical demography |
|
11.00 |
11.30 |
|
First |
Coffe Break |
|
|
|
|
|
|
|
11.30 |
13.00 |
9 |
Basement (-1) |
Specialized |
SSP-3.01 |
Recent developments in mixture modeling |
S. Ingrassia |
A. Cerioli |
A. Maruotti, F. Martella |
Clustering Multivariate Longitudinal Data: Hidden Markov of Factor Analyzers |
|
|
|
|
|
Specialized |
SSP-3.01 |
Recent developments in mixture modeling |
S. Ingrassia |
A. Cerioli |
C. Viroli |
Model based clustering of multivariate spatio-temporal data: a matrix-variate approach |
|
|
|
|
|
Specialized |
SSP-3.01 |
Recent developments in mixture modeling |
S. Ingrassia |
A. Cerioli |
A. Spagnoli, M. Alfo' |
Random coefficient based dropout models: a finite mixture approach |
|
|
|
6 B |
Ground |
Specialized |
SSP-3.02 |
Family strategies in times of economic crisis |
A. De Rose |
F. Ongaro |
S. Salvini, G. De Santis |
Families in Italy: the Quiet Revolution |
|
|
|
|
|
Specialized |
SSP-3.02 |
Family strategies in times of economic crisis |
A. De Rose |
F. Ongaro |
G. Fattore |
The impact of the three crises on health in Italy: evidence and lack of adequate information systems |
|
|
|
|
|
Specialized |
SSP-3.02 |
Family strategies in times of economic crisis |
A. De Rose |
F. Ongaro |
T. Sobotka |
Economic recession and fertility in the developed world: Past evidence and recent trends |
|
|
|
6 A |
Ground |
Specialized |
SSP-3.03 |
New perspectives in constructing and managing social indicators |
F. Maggino |
M. De Smedt |
J.W. Owsinski |
On Dividing an Empirical Distribution into Optimal Segments |
|
|
|
|
|
Specialized |
SSP-3.03 |
New perspectives in constructing and managing social indicators |
F. Maggino |
M. De Smedt |
M. Fattore |
Non-aggregative assessment of subjective well-being |
|
|
|
|
|
Specialized |
SSP-3.03 |
New perspectives in constructing and managing social indicators |
F. Maggino |
M. De Smedt |
S. Tarantola, E. Giachin Ricca |
A composite indicator of sustainable well-being: the relative importance of weights in the European Strategy for Sustainable Development |
|
|
|
6 C |
Ground |
Specialized |
SSP-3.04 |
Statistics for high-dimensional and functional data |
L. M. Sangalli |
V. Vitelli |
D. Pigoli |
Distance - Based Statistics for Covariance Operators in Functional Data Analysis |
|
|
|
|
|
Specialized |
SSP-3.04 |
Statistics for high-dimensional and functional data |
L. M. Sangalli |
V. Vitelli |
A. Canale, D.B. Dunson |
A Bayesian nonparametric model for count functional data |
|
|
|
|
|
Specialized |
SSP-3.04 |
Statistics for high-dimensional and functional data |
L. M. Sangalli |
V. Vitelli |
G. Minas, J.A.D. Aston, T.E. Nichols, N. Stallard |
ROI analysis of pharmafMRI data: an adaptive approach for global testing |
|
|
|
Fanfani |
Fifth |
Specialized |
SSP-3.05 |
Session organized by the Sociedade Portuguesa de Estatìstica |
P. Oliveira |
F. Divino |
B. De Sousa, D. Gomes, P.A. Filipe, C. Areias, T. Briz, C. Nunes |
STAR modeling of pulmonary tubercolosis delay-time in diagnosis |
|
|
|
|
|
Specialized |
SSP-3.05 |
Session organized by the Sociedade Portuguesa de Estatìstica |
P. Oliveira |
F. Divino |
L. Goncalves, A. Subtil, N. Brites, M.R. De Oliveira, A.M. Alho, J. Meireles, L.M. Madeira De Carvalho, S. Belo |
Bayesian Latent Class Models in Veterinary and Human Epidemiology |
|
|
|
|
|
Specialized |
SSP-3.05 |
Session organized by the Sociedade Portuguesa de Estatìstica |
P. Oliveira |
F. Divino |
A.C. Braga, L. Costa, P. Oliveira |
ROC Curves in medical decision |
|
13.00 |
14.30 |
|
Univ. Rest |
Lunch |
|
|
|
|
|
|
June 22 Afternoon |
14.30 |
16.00 |
6 A |
Ground |
Contributed |
CS-3.01 |
Index numbers |
R. Zelli |
|
M. Mazziotta, A. Pareto |
A Well-being Index Based on the Weighted Product Method |
|
|
|
|
|
Contributed |
CS-3.01 |
Index numbers |
R. Zelli |
|
A. Gardini, E. Foscolo |
Timely Indices for Residential Construction Sector |
|
|
|
|
|
Contributed |
CS-3.01 |
Index numbers |
R. Zelli |
|
M. Maltagliati, G. De Santis |
Equivalence scales, inflation, and PPP: a unique (and simple) approach to estimation |
|
|
|
|
|
Contributed |
CS-3.01 |
Index numbers |
R. Zelli |
|
G. D'Epifanio |
Indexing the Worthiness of Social Agents |
|
|
|
6 B |
Ground |
Contributed |
CS-3.02 |
Statistics and Environment |
G. Coccia |
|
S. Arima, A. Basset, G. Jona Lasinio, A. Pollice, I. Rosati |
A hierarchical bayesian model for modelling benthic macroinvertebrates densities in lagoons |
|
|
|
|
|
Contributed |
CS-3.02 |
Statistics and Environment |
G. Coccia |
|
C. Pisani, L. Fattorini |
A Critical Look at Compositional Analysis for Assessing Habitat Selection |
|
|
|
|
|
Contributed |
CS-3.02 |
Statistics and Environment |
G. Coccia |
|
V. Vitelli |
Estimation of wind speed prediction intervals by multi-objective genetic algorithms and neural networks |
|
|
|
|
|
Contributed |
CS-3.02 |
Statistics and Environment |
G. Coccia |
|
I. A. Sciascia, M. Garbarino, G. Vacchiano, R. Motta |
Comparing model-assisted estimators of structural variables in forest surveys |
|
|
|
6 C |
Ground |
Contributed |
CS-3.03 |
Methods and applications in educational statistics |
C. Rampichini |
|
B. Cafarelli |
An Evaluation of the Student Satisfaction based on CUB Models |
|
|
|
|
|
Contributed |
CS-3.03 |
Methods and applications in educational statistics |
C. Rampichini |
|
C. Ceccatelli, T. Di Battista, F. Fortuna |
Burnout, learning and self-esteem at school: an empirical study. |
|
|
|
|
|
Contributed |
CS-3.03 |
Methods and applications in educational statistics |
C. Rampichini |
|
D.F. Iezzi, M. Mastrangelo, S. Sarlo |
International Mobility of University Students: the Italian case |
|
|
|
|
|
Contributed |
CS-3.03 |
Methods and applications in educational statistics |
C. Rampichini |
|
D. Contini, E. Grand |
Estimating student learning value-added models from repeated cross-sections |
|
|
|
Fanfani |
Fifth |
Contributed |
CS-3.04 |
Demographic methods and models |
S. Salvini |
|
S. Mazzucco, F. Ongaro, S. Meggiolaro |
Family resources and cognitive decline among elderly in Italy |
|
|
|
|
|
Contributed |
CS-3.04 |
Demographic methods and models |
S. Salvini |
|
A. Di Pino, M.G. Campolo, E.L. Rizzi |
Life-Course Transitions, Market Work and Domestic Work of Italian Couples |
|
|
|
|
|
Contributed |
CS-3.04 |
Demographic methods and models |
S. Salvini |
|
G. Ferrari, G. Rosina, A. Sironi |
The Decision Making Process of Leaving Home: A Longitudinal Analysis of Italian Women |
|
|
|
|
|
Contributed |
CS-3.04 |
Demographic methods and models |
S. Salvini |
|
M.R. Sebastiani |
Dimension reduction for measuring the multidimensional demographic convergence |
|
|
|
8 B |
Basement (-1) |
Contributed |
CS-3.05 |
Energy-related statistical analysis |
A. Petrucci |
|
S. Auci, D. Vignani |
Efficiency in the use of natural non-renewable resources from mining and quarrying in Italy. Time series analysis and Economy-wide Material Flows Accounts |
|
|
|
|
|
Contributed |
CS-3.05 |
Energy-related statistical analysis |
A. Petrucci |
|
S. Fachin |
A study in panel cointegration and poolability: Long-run money demand equations for Gulf Cooperation Council countries |
|
|
|
|
|
Contributed |
CS-3.05 |
Energy-related statistical analysis |
A. Petrucci |
|
A. Dalla Valle, C. Furlan |
The diffusion of nuclear energy in the developing countries |
|
|
|
|
|
Contributed |
CS-3.05 |
Energy-related statistical analysis |
A. Petrucci |
|
G. Scandurra |
Investments in Renewable energies: evidence from a panel of countries |
|
|
|
5 |
First |
Contributed |
CS-3.06 |
Survey methods and applications |
N. Torelli |
|
T. Tuoto, S. Bruzzone, L. Valentino, G. Baldassarre, N. Cibella, M. Pappagallo |
Towards an integrated surveillance system of road accidents |
|
|
|
|
|
Contributed |
CS-3.06 |
Survey methods and applications |
N. Torelli |
|
S. De Cantis, M. Ferrante |
Border surveys and Time Location Sampling (TLS): an application on incoming tourism in Sicily |
|
|
|
|
|
Contributed |
CS-3.06 |
Survey methods and applications |
N. Torelli |
|
E. Macri', C. Tessitore |
Effective Facebook population: the Italian case |
|
|
|
|
|
Contributed |
CS-3.06 |
Survey methods and applications |
N. Torelli |
|
D. Toninelli, S. Biffignandi |
Impact of Audio Tools in Web Surveys |
|
|
|
9 |
Basement (-1) |
Contributed |
CS-3.07 |
Inequality measures |
G. Grassia |
|
M. Mussini |
An income mobility measure based on Zenga’s inequality index |
|
|
|
|
|
Contributed |
CS-3.07 |
Inequality measures |
G. Grassia |
|
F. Greselin, L. Pasquazzi, R. Zitikis |
Capital income inequality: evidences from ECHP data |
|
|
|
|
|
Contributed |
CS-3.07 |
Inequality measures |
G. Grassia |
|
M. Zenga, L. Pasquazzi |
Contributions from income components to Zenga's point and synthetic inequality measures: an application to EU countries |
|
|
|
8 C |
Basement (-1) |
Contributed |
CS-3.08 |
Statistical distributions |
G. Bove |
|
A. Cerquetti |
Some further results for the two-parameter Poisson-Dirichlet partition model |
|
|
|
|
|
Contributed |
CS-3.08 |
Statistical distributions |
G. Bove |
|
V. Mameli, M. Musio |
Note on a new generalization of the skew-normal distribution |
|
|
|
|
|
Contributed |
CS-3.08 |
Statistical distributions |
G. Bove |
|
E. Melilli, P. Veronese |
Fiducial Distributions for Real Exponential Families |
|
|
|
|
|
Contributed |
CS-3.08 |
Statistical distributions |
G. Bove |
|
G. Pallotta, B. Palumbo |
New approach to the identification of the Inverse Weibull model |
|
|
|
Memotef |
Fourth |
Contributed |
CS-3.09 |
Statistical methods and applications - I |
P. Vidoni |
|
L. Rivoli, R. Verde, A. Irpino |
The median of a set of histogram data |
|
|
|
|
|
Contributed |
CS-3.09 |
Statistical methods and applications - I |
P. Vidoni |
|
S. Figini, C. Gigliarano, P. Muliere |
Some results on stochastic comparisons of ROC curves |
|
|
|
|
|
Contributed |
CS-3.09 |
Statistical methods and applications - I |
P. Vidoni |
|
F. Palombi, S. Toti, R. Filippini |
Reconstructing a multinormal covariance matrix from its spherically truncated projection |
|
|
|
|
|
Contributed |
CS-3.09 |
Statistical methods and applications - I |
P. Vidoni |
|
A. Pollastri, V. Tulli |
Considerations about the Quotient of two Correlated Normals |
|
16.00 |
16.30 |
|
First |
Coffe Break |
|
|
|
|
|
|
|
16.30 |
18.00 |
6 A |
Ground |
Contributed |
CS-4.01 |
Business statistics and administrative data |
F. Bacchini |
|
C. Baldi, F. Ceccato, S. Pacini, D. Tuzi |
The Use of Administrative Data for Short Term Business Statistics: Lessons from a Cross-Country Experience |
|
|
|
|
|
Contributed |
CS-4.01 |
Business statistics and administrative data |
F. Bacchini |
|
O. Luzi, G. Seri, V. De Giorgi, G. Siesto |
Estimating Business Statistics from administrative data: a study on small and medium enterprises |
|
|
|
|
|
Contributed |
CS-4.01 |
Business statistics and administrative data |
F. Bacchini |
|
P. Mariani |
Data fusion in pharmaceutical marketing: new perspective from administrative data |
|
|
|
|
|
Contributed |
CS-4.01 |
Business statistics and administrative data |
F. Bacchini |
|
S. Angiona, C. Carbonari, F. Paradisi |
A Local Price Observatory – Price minimarket: innovations and additional knowledge about prices - The experience of Umbria |
|
|
|
6 B |
Ground |
Contributed |
CS-4.02 |
Well-being and poverty - II |
A.M. Milito |
|
A.M. Milito, A. Busetta, A.M. Olivieri |
The analysis of the material deprivation of foreigners in Italy |
|
|
|
|
|
Contributed |
CS-4.02 |
Well-being and poverty - II |
A.M. Milito |
|
A. Fusco, N. Islam |
Modelling poverty transitions in Luxembourg: true state dependence or heterogeneity |
|
|
|
|
|
Contributed |
CS-4.02 |
Well-being and poverty - II |
A.M. Milito |
|
L. Coppola, D. Di Laurea, D. Lo Castro, M. Spaziani |
Poverty transitions in Italy |
|
|
|
|
|
Contributed |
CS-4.02 |
Well-being and poverty - II |
A.M. Milito |
|
M. Jantti, E. Sierminska, P. Van Kerm |
A model for the joint distribution of income and wealth |
|
|
|
6 C |
Ground |
Contributed |
CS-4.03 |
Bayesian methods |
B. Liseo |
|
I. Pruenster, A. Lijoi, P. De Blasi |
Large sample properties of Gibbs-type priors |
|
|
|
|
|
Contributed |
CS-4.03 |
Bayesian methods |
B. Liseo |
|
M. Ruggiero |
On the role of normalized inverse-Gaussian priors in continuous-time models |
|
|
|
|
|
Contributed |
CS-4.03 |
Bayesian methods |
B. Liseo |
|
P. Vicard, J. Mortera |
A decision support system for duopolies with incomplete information |
|
|
|
|
|
Contributed |
CS-4.03 |
Bayesian methods |
B. Liseo |
|
M. Bernardi, L. Petrella |
Parallel Adaptive Markov chain Monte Carlo with applications |
|
|
|
8 B |
Basement (-1) |
Contributed |
CS-4.04 |
Prices and price indices |
I. Santini |
|
G. Serafini |
Hedonic Indexes and GDP estimate in the USA |
|
|
|
|
|
Contributed |
CS-4.04 |
Prices and price indices |
I. Santini |
|
M.C. Bramati |
Price transmission and market power in the food market |
|
|
|
|
|
Contributed |
CS-4.04 |
Prices and price indices |
I. Santini |
|
G. Passamani |
Interpreting Deviations from Long-run Parity in an I(2) Model |
|
|
|
|
|
Contributed |
CS-4.04 |
Prices and price indices |
I. Santini |
|
P. Chirico |
Deterministic or stochastic seasonality in daily electricity prices? |
|
|
|
8 C |
Basement (-1) |
Contributed |
CS-4.05 |
Data dependence analysis |
M. M. Barbieri |
|
E. Foscolo, F. Durante |
Handling weak dependence structures with copulas |
|
|
|
|
|
Contributed |
CS-4.05 |
Data dependence analysis |
M. M. Barbieri |
|
C. Lupi |
False discovery rate control and the dependence structure of test statistics |
|
|
|
|
|
Contributed |
CS-4.05 |
Data dependence analysis |
M. M. Barbieri |
|
C.G. Borroni, M. Cazzaro, P.M .Chiodini |
Autocorrelated non-normal data in control charts |
|
|
|
|
|
Contributed |
CS-4.05 |
Data dependence analysis |
M. M. Barbieri |
|
C. Conigliani, A. Tancredi |
Predicting EQ-5D responses from SF-12: should we take into account dependece and ordering? |
|
|
|
5 |
First |
Contributed |
CS-4.06 |
Functional data analysis |
R. Rocci |
|
A. Pini, S. Vantini |
Testing Phase and Amplitude Variability in Functional Data Analysis: a Hierarchical Permutation Test Approach |
|
|
|
|
|
Contributed |
CS-4.06 |
Functional data analysis |
R. Rocci |
|
S. Vantini |
A Topological Definition of Phase and Amplitude Variability of Functional Data |
|
|
|
|
|
Contributed |
CS-4.06 |
Functional data analysis |
R. Rocci |
|
M. Trevisani, A. Tuzzi |
Chronological analysis of textual data and curve clustering: preliminary results based on wavelets |
|
|
|
|
|
Contributed |
CS-4.06 |
Functional data analysis |
R. Rocci |
|
A. Menafoglio, M. Dalla Rosa, P. Secchi |
Prediction of nonstationary functional data: Universal Kriging in a Hilbert Space |
|
|
|
9 |
Basement (-1) |
Contributed |
CS-4.07 |
Methods for spatial and network data |
R. Benedetti |
|
P. Secchi, S. Vantini, P. Zanini |
Independent Component Analysis of Milan Mobile Network Data |
|
|
|
|
|
Contributed |
CS-4.07 |
Methods for spatial and network data |
R. Benedetti |
|
D. Giuliani, S. Cozzi, G. Espa |
The analysis of firm demography: an approach based on micro-geographic data |
|
|
|
|
|
Contributed |
CS-4.07 |
Methods for spatial and network data |
R. Benedetti |
|
D. De Stefano, S. Zaccarin |
Exponential Random Graph Model for multivariate networks: an application in knowledge network analysis |
|
|
|
|
|
Contributed |
CS-4.07 |
Methods for spatial and network data |
R. Benedetti |
|
E. Di Bella, L. Leporatti, L. Persico |
Lattice Models for the analysis of Urban Crime |
|
|
|
Fanfani |
Fifth |
Contributed |
CS-4.08 |
Social indicators |
D. F. Iezzi |
|
M.F. Arezzo |
The Role of Social Capital in Preventing Irregural Work in Italian Regions |
|
|
|
|
|
Contributed |
CS-4.08 |
Social indicators |
D. F. Iezzi |
|
G. Boccuzzo, M. Giannecchini |
Measuring job quality: a composite indicator |
|
|
|
|
|
Contributed |
CS-4.08 |
Social indicators |
D. F. Iezzi |
|
M. Centra, M. Curtarelli, V. Gualtieri |
From theory to practice: a methodological proposal for operationalising and summarizing the concept of quality of work |
|
|
|
|
|
Contributed |
CS-4.08 |
Social indicators |
D. F. Iezzi |
|
E. Vassallo, F. Giambona |
Composite Indicator of Social Inclusion in the European Union |
|
|
|
Memotef |
Fourth |
Contributed |
CS-4.09 |
Statistical methods and applications - II |
T. Di Battista |
|
P.L. Conti, D. Marella, M. Scanu |
Uncertainty in statistical matching for discrete categorical variables |
|
|
|
|
|
Contributed |
CS-4.09 |
Statistical methods and applications - II |
T. Di Battista |
|
R. Giaimo, G.L. Lo Magno |
Dealing With a Potential Bias in Estimating the Share of Discriminated Women |
|
|
|
|
|
Contributed |
CS-4.09 |
Statistical methods and applications - II |
T. Di Battista |
|
M. Salusti |
Metodologies for continuous analisys and classification of the information. SAS in the analytical management of BIGDATA |
|
18.15 |
|
5 |
First |
|
|
Closing Ceremony |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|