Browse Title Index


 
Scheduled Conference Title
 
Advances in Latent Variables - Methods, Models and Applications A fuzzy approach to measure well-being in European regions Abstract
Maria Adele Milioli, Lara Berzieri, Sergio Zani
 
Advances in Latent Variables - Methods, Models and Applications A Bayesian nonparametric model for data on different scale of measure; an application to customer base management of telecommunications companies Abstract
Antonio Canale, David B. Dunson
 
Advances in Latent Variables - Methods, Models and Applications A Bayesian Stochastic Correlation Model for Exchange Rates Abstract
Roberto Casarin, Marco Tronzano, Domenico Sartore
 
Advances in Latent Variables - Methods, Models and Applications A classification of university courses based on students satisfaction: an application of a three-level mixture Item Response Theory (IRT) model Abstract
Silvia Bacci, Michela Gnaldi
 
Advances in Latent Variables - Methods, Models and Applications A comparison of parametric and non-parametric adjustments using vignettes for self-reported data Abstract
Silvana Robone, Andrew Jones, Nigel Rice
 
Advances in Latent Variables - Methods, Models and Applications A concomitant variable mixture model for predicting freshmen gained credits Abstract
Leonardo Grilli, Carla Rampichini, Roberta Varriale
 
Advances in Latent Variables - Methods, Models and Applications A decade of research in Statistics: a topic model approach Abstract
Francesca De Battisti, Alfio Ferrara, Silvia Salini
 
Advances in Latent Variables - Methods, Models and Applications A direct likelihood approach to principal stratification analysis Abstract
Paolo Frumento, Barbara Pacini, Donald Rubin, Fabrizia Mealli
 
Advances in Latent Variables - Methods, Models and Applications A finite mixture distribution for modelling overdispersion Abstract
Maria Iannario
 
Advances in Latent Variables - Methods, Models and Applications A finite mixture regression model for evaluating University admission test and students’ careers Abstract
Lucio Masserini, Monica Pratesi
 
Advances in Latent Variables - Methods, Models and Applications A general framework for modelling covariances Abstract
Age Klaas Smilde, Marieke E Timmerman, Edoardo Saccenti, Jeroen J Jansen, Huub C.J. Hoefsloot
 
Advances in Latent Variables - Methods, Models and Applications A Generalized Maximum Entropy (GME) approach to crisp-input/fuzzy-output regression model Abstract
Antonio Calcagnì
 
Advances in Latent Variables - Methods, Models and Applications A georeferenced IRT approach for the localization of public services Abstract
Simone Di Zio, Lara Fontanella
 
Advances in Latent Variables - Methods, Models and Applications A latent growth curve analysis in banking customer satisfaction Abstract
Caterina Liberati, Paolo Mariani, Lucio Masserini
 
Advances in Latent Variables - Methods, Models and Applications A latent variable approach for clustering a spatial network Abstract
Francesco Pauli, Nicola Torelli, Susanna Zaccarin
 
Advances in Latent Variables - Methods, Models and Applications A latent variable approach to modelling multivariate geostatistical skew-normal data Abstract
Luca Bagnato, Marco Minozzo
 
Advances in Latent Variables - Methods, Models and Applications A latent variables based-model for spatiotemporal environmental analysis Abstract
Sandra De Iaco, Monica Palma, Donato Posa
 
Advances in Latent Variables - Methods, Models and Applications A LCA approach for allocation of employees to local units Abstract
Irene Rocchetti, Davide Di Cecco, Danila Filipponi
 
Advances in Latent Variables - Methods, Models and Applications A least squares approach to latent variables extraction in formative-reflective models Abstract
Marco Fattore, Matteo Maria Pelagatti
 
Advances in Latent Variables - Methods, Models and Applications A Measure of the Satisfaction by Fuzzy Set Theory Abstract
Francesca De Battisti, Donata Marasini, Giovanna Nicolini
 
Advances in Latent Variables - Methods, Models and Applications A multilevel approach for repeated cross-sectional data: an application on auction prices. Abstract
Lucia Modugno, Silvia Cagnone, Simone Giannerini
 
Advances in Latent Variables - Methods, Models and Applications A Multivariate Latent Stochastic Volatility Abstract
Andrea Federico Pierini, Antonello Maruotti
 
Advances in Latent Variables - Methods, Models and Applications A new mixture model for composition and size Abstract
Andrea Ongaro, Sonia Migliorati
 
Advances in Latent Variables - Methods, Models and Applications A New PCA Method for Intuitionistic Fuzzy Sets Based on Cross-Entropy Abstract
Adel Fatemi, Poya Faroughi, Sonia Darvishi
 
Advances in Latent Variables - Methods, Models and Applications A Nonlinear Panel Unit Root Test under Cross Section Dependence Abstract
Christian De Peretti, Mario Cerrato, Rolf Larsson, Nicholas Sarantis
 
Advances in Latent Variables - Methods, Models and Applications A nonparametric multidimensional latent class IRT model in a Bayesian framework Abstract
Francesco Bartolucci, Alessio Farcomeni, Luisa Scaccia
 
Advances in Latent Variables - Methods, Models and Applications A proposal for handling ordinal categorical variables in Co-Inertia Analysis Abstract
Pietro Amenta, Antonio Lucadamo
 
Advances in Latent Variables - Methods, Models and Applications A Rasch Analysis of the Sentence Completion Test for Youth Abstract
Els Mampaey
 
Advances in Latent Variables - Methods, Models and Applications A statistical analysis on sensory data: the Italian espresso case study Abstract
Maria Iannario, Marica Manisera, Paola Zuccolotto
 
Advances in Latent Variables - Methods, Models and Applications A statistical model for the strategic quality management in the tourist harbours Abstract
Sabrina Maggio, Giuseppe Raffaele
 
Advances in Latent Variables - Methods, Models and Applications A statistical model to evaluate the attractiveness of a food and wine event Abstract
Veronica Distefano, Sabrina Maggio, Sandra De Iaco
 
Advances in Latent Variables - Methods, Models and Applications A Study of Bias for Non-Iterative Estimates of the Linear-by-Linear Association Parameter from the Ordinal Log-Linear Model Abstract
Eric J. Beh, Sidra Zafar, Salman A Cheema, Irene L Hudson
 
Advances in Latent Variables - Methods, Models and Applications A thick modeling approach to multivariate volatility prediction Abstract
Alessandra Amendola, Giuseppe Storti
 
Advances in Latent Variables - Methods, Models and Applications A unified approach to multi-block and multi-group data analysis Abstract
Michel Tenenhaus
 
Advances in Latent Variables - Methods, Models and Applications A weighted pairwise likelihood estimator for a class of latent variable models Abstract
Vassilis Vasdekis, Dimitris Rizopoulos, Irini Moustaki
 
Advances in Latent Variables - Methods, Models and Applications Across-Regime Correlation in a Switching Regression Model: A FIML Approach Abstract
Antonino Di Pino, Giorgio Calzolari
 
Advances in Latent Variables - Methods, Models and Applications Adjusted Modeling to Deal with Fundamental Comparability Problems in Multiway Data Abstract
Iven Van Mechelen, Tom Wilderjans, Kim De Roover, Eva Ceulemans
 
Advances in Latent Variables - Methods, Models and Applications Adjusting the aggregate association index for large samples Abstract
Eric J. Beh, Salman A Cheema, Duy Tran, Irene L Hudson
 
Advances in Latent Variables - Methods, Models and Applications Advances in estimation of large hierarchical spatio-temporal models Abstract
Håvard Rue
 
Advances in Latent Variables - Methods, Models and Applications Alternative solutions to the initial conditions problem in dynamic binary panel data models with time-dependent unobserved heterogeneity Abstract
Antonello Maruotti
 
Advances in Latent Variables - Methods, Models and Applications Alternative weighting structures for multidimensional poverty assessment Abstract
Danilo Cavapozzi, Wei Han, Raffaele Miniaci
 
Advances in Latent Variables - Methods, Models and Applications An application of the Structural Equation Modelling to the evaluation of public services supply Abstract
Carolina Raiola
 
Advances in Latent Variables - Methods, Models and Applications An economic approach to Bes Abstract
Maria Teresa Salvemini
 
Advances in Latent Variables - Methods, Models and Applications Analysis of multivariate mixed longitudinal data: a flexible latent process approach Abstract
Cécile Proust-Lima, Hélène Amieva, Hélène Jacqmin-Gadda
 
Advances in Latent Variables - Methods, Models and Applications Analyzing female and male conditions in labour market: where is gender discrimination? Abstract
Antonella Rocca, Rosalia Castellano
 
Advances in Latent Variables - Methods, Models and Applications Approximate likelihood inference via dimension reduction for multidimensional binary panel data Abstract
Silvia Bianconcini, Silvia Cagnone, Dimitris Rizopoulos
 
Advances in Latent Variables - Methods, Models and Applications Assessment of item correlation in Rasch models Abstract
Svend Kreiner, Karl Bang Christensen
 
Advances in Latent Variables - Methods, Models and Applications Attitudes, motivations and emotions towards university study. A latent class approach Abstract
Anna Giraldo, Silvia Meggiolaro, Elisa Visentin, Carolina Mega
 
Advances in Latent Variables - Methods, Models and Applications Bayesian Analysis of Discrete Bi-directed Graphical Models via Augmented DAG Representation Abstract
Claudia Tarantola, Ioannis Ntzoufras
 
Advances in Latent Variables - Methods, Models and Applications Bayesian analysis of the multivariate dependence of three transitional water ecosystem classifications Abstract
Alessio Pollice, Serena Arima, Giovanna Jona Lasinio, Alberto Basset, Ilaria Rosati
 
Advances in Latent Variables - Methods, Models and Applications Bayesian Estimation of Item Response Theory Models with Power Priors Abstract
Mariagiulia Matteucci, Bernard P. Veldkamp
 
Advances in Latent Variables - Methods, Models and Applications Bayesian Inference for Fuzzy Regression Discontinuity Designs Abstract
Alessandra Mattei, Fan Li, Fabrizia Mealli
 
Advances in Latent Variables - Methods, Models and Applications Bayesian quantile regression for tail risk interdependence Abstract
Mauro Bernardi, Ghislaine Gayraud, Lea Petrella
 
Advances in Latent Variables - Methods, Models and Applications Business failure prediction in manufacturing: a robust bayesian approach to discriminant scoring Abstract
Maurizio Baussola, Eleonora Bartoloni, Aldo Corbellini
 
Advances in Latent Variables - Methods, Models and Applications Changes in disability reporting in the US and the Netherlands Abstract
Teresa Bago d'Uva, Arie Kapteyn, Eddy Van Doorslaer, Arthur Van Soest
 
Advances in Latent Variables - Methods, Models and Applications Clustering the Corpus of Seneca. A Lexical-Based Approach Abstract
Gabriele Cantaluppi, Marco Passarotti
 
Advances in Latent Variables - Methods, Models and Applications Cognitive deterioration in cancer patients using logistic quantile regression Abstract
Silvia Columbu, Matteo Bottai
 
Advances in Latent Variables - Methods, Models and Applications Coherency in space of lake and river temperature and water quality records Abstract
Marian Scott, Claire Miller, Francesco Finazzi, Ruth Haggarty
 
Advances in Latent Variables - Methods, Models and Applications Comparative models for job satisfaction Abstract
Romina Gambacorta
 
Advances in Latent Variables - Methods, Models and Applications Comparing Maximum Likelihood and PLS Estimators for Structural Equation Modeling with Formative Blocks Abstract
Pasquale Dolce, Natale Carlo Lauro
 
Advances in Latent Variables - Methods, Models and Applications Composite Indices Building: A Comparison of Unbalance Adjustment Methods Abstract
Matteo Mazziotta, Adriano Pareto
 
Advances in Latent Variables - Methods, Models and Applications Composite likelihood inference for a class of latent variable models for two factor clustering Abstract
Francesco Bartolucci, Francesca Chiaromonte, Prabhani Kuruppumullage, Bruce G. Lindsay
 
Advances in Latent Variables - Methods, Models and Applications Compositional latent variables, logratios and logcontrasts: underlying concepts in multivariate methods for compositional data Abstract
Josep-Antoni Martin-Fernandez
 
Advances in Latent Variables - Methods, Models and Applications Compulsive usage of Internet and mobile phone by teenagers: a new empirical evidence Abstract
Sabrina Maggio, Claudia Cappello, Daniela Pellegrino
 
Advances in Latent Variables - Methods, Models and Applications Construct identification strategies of composite variables in Structural Equation Modelling: a Monte Carlo simulation study Abstract
Davide Guido, Daniele Pepe, Mario Grassi
 
Advances in Latent Variables - Methods, Models and Applications Covariance-Based Outlier Detection for Compositional Data with Structural Zeros: Application to Italian Survey of Household Income and Wealth Data Abstract
Gianna S. Monti, Karel Hron, Peter Filzmoser, Matthias Templ
 
Advances in Latent Variables - Methods, Models and Applications Culture and well-being: the develpoment of a conceptual framework Abstract
Saverio Gazzelloni
 
Advances in Latent Variables - Methods, Models and Applications Customer Satisfaction and Compositional Biplot Abstract
Michele Gallo
 
Advances in Latent Variables - Methods, Models and Applications Detecting compositional outliers using Comedian Method Abstract
M.A. Di Palma, M.R Srinivasan, T.A Sajesh
 
Advances in Latent Variables - Methods, Models and Applications Developing a Composite Index by using Spatial Latent Modelling based on IT estimation Abstract
Rossella Bernardini Papalia, Enrico Ciavolino
 
Advances in Latent Variables - Methods, Models and Applications Dimension reduction in the time domain: Dynamic Principal Components Abstract
Daniel Peña
 
Advances in Latent Variables - Methods, Models and Applications Dimension reduction techniques for distributional symbolic data Abstract
Antonio Irpino, Rosanna Verde
 
Advances in Latent Variables - Methods, Models and Applications Do educational systems affect earnings? A comparative analysis across countries and gender Abstract
Rosalia Castellano, Gennaro Punzo
 
Advances in Latent Variables - Methods, Models and Applications Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations Abstract
Marco Lippi
 
Advances in Latent Variables - Methods, Models and Applications Dynamic models for environmental variables Abstract
Pasquale Valentini, Tonio Di Battista
 
Advances in Latent Variables - Methods, Models and Applications Educational investments to guarantee graduates' human capital effectiveness Abstract
Cristiana Martini
 
Advances in Latent Variables - Methods, Models and Applications Evaluating the Italian wine quality with the CRAGGING approach Abstract
Marika Vezzoli
 
Advances in Latent Variables - Methods, Models and Applications Evaluation of human capital in education-based perspective Abstract
Emma Zavarrone, Anna Simonetto
 
Advances in Latent Variables - Methods, Models and Applications Exploratory Data Analysis of justice in Europe Abstract
Carlo Cusatelli, Massimiliano Giacalone
 
Advances in Latent Variables - Methods, Models and Applications Exploring compositional data with the robust compositional biplot Abstract
Karel Hron, Peter Filzmoser
 
Advances in Latent Variables - Methods, Models and Applications Fast indirect estimation of latent factor models with conditional heteroskedasticity Abstract
Giorgio Calzolari, Gian Piero Aielli, Gabriele Fiorentini
 
Advances in Latent Variables - Methods, Models and Applications Fifty years of three-mode data analysis: Past, present, problems and prospects Abstract
Pieter M. Kroonenberg
 
Advances in Latent Variables - Methods, Models and Applications Finding Scientific Topics Revisited Abstract
Martin Ponweiser, Bettina Grün, Kurt Hornik
 
Advances in Latent Variables - Methods, Models and Applications Functional Data Modeling in climatology Abstract
Rosaria Ignaccolo
 
Advances in Latent Variables - Methods, Models and Applications Fundamentals and contagion in the euro area sovereign bond crisis: a Markov switching approach Abstract
Gianni Gabriele Amisano, Oreste Tristani
 
Advances in Latent Variables - Methods, Models and Applications Gaussian state-space models of housing prices in the US Abstract
Eugenia Nissi, Agnese Rapposelli, Pasquale Valentini
 
Advances in Latent Variables - Methods, Models and Applications Generalized log odds ratio analysis for the association in two-way contingency table Abstract
Pasquale Sarnacchiaro, Luigi D’Ambra, Ida Camminatiello
 
Advances in Latent Variables - Methods, Models and Applications Generalized Redundancy Analysis Abstract
Pietro Giorgio Lovaglio, Roberto Boselli
 
Advances in Latent Variables - Methods, Models and Applications Genetic Consortia, Risk Scores and Mendelian Randomization Abstract
John Thompson
 
Advances in Latent Variables - Methods, Models and Applications Global Evaluation of Reliability for a Structural Equation Model with Latent Variables and Ordinal Observations Abstract
Angelo Zanella, Gabriele Cantaluppi
 
Advances in Latent Variables - Methods, Models and Applications Graphical Latent Structure Tests Abstract
Robin Evans
 
Advances in Latent Variables - Methods, Models and Applications Graphical methods for dimensionality reduction on manifolds Abstract
Lara Fontanella, Sara Fontanella, Luca Romagnoli
 
Advances in Latent Variables - Methods, Models and Applications H index: the statistical point of view Abstract
Paola Cerchiello, Paolo Giudici
 
Advances in Latent Variables - Methods, Models and Applications Hedonic Price for Italian wine Abstract
Rosella Levaggi, Paola Zuccolotto
 
Advances in Latent Variables - Methods, Models and Applications Hierarchical spatio-temporal models for short-term predictions of air pollution data Abstract
Francesca Bruno, Lucia Paci
 
Advances in Latent Variables - Methods, Models and Applications High-frequency modeling for VWAP based trading strategies: a Generalized Autoregressive Score approach Abstract
Francesco Calvori, Fabrizio Cipollini, Giampiero M. Gallo
 
Advances in Latent Variables - Methods, Models and Applications How does human capital affect partnership transitions? Evidence of complex contingencies in a multi-country sample Abstract
Giulia Ferrari, Ross Macmillan
 
Advances in Latent Variables - Methods, Models and Applications How to look at an unequal well-being Abstract
Tommaso Rondinella
 
Advances in Latent Variables - Methods, Models and Applications How useful Bayesian inference could be in Model-based clustering? Abstract
Gilles Celeux
 
Advances in Latent Variables - Methods, Models and Applications Identification of clusters and underlying latent components in sensory analysis. Abstract
Evelyne Vigneau
 
Advances in Latent Variables - Methods, Models and Applications Identification of dietary patterns using partial least square regression Abstract
Adriano De Carli, Valentina Rosato, Valeria Edefonti, Monica Ferraroni
 
Advances in Latent Variables - Methods, Models and Applications Identification of principal causal effects using secondary outcomes Abstract
Fabrizia Mealli, Barbara Pacini, Elena Stanghellini
 
Advances in Latent Variables - Methods, Models and Applications Ignoring the matching variables in cohort studies - when is it valid, and why? Abstract
Arvid Sjölander
 
Advances in Latent Variables - Methods, Models and Applications Investigating stock market behavior using a multivariate Markov-switching approach Abstract
Giuseppe Cavaliere, Michele Costa, Luca De Angelis
 
Advances in Latent Variables - Methods, Models and Applications Investigation of pleiotropy in Mendelian randomisation studies with continuous outcome using aggregate genetic data Abstract
Fabiola Del Greco, Elinor Jones, Peter Pramstaller, Nuala Sheehan, John Thompson
 
Advances in Latent Variables - Methods, Models and Applications Italian households’ financial product ownership over time: a latent class Markov model for dynamic segmentation Abstract
Francesca Bassi
 
Advances in Latent Variables - Methods, Models and Applications Latent class Markov models for measuring longitudinal fuzzy poverty Abstract
Giovanni Marano, Gianni Betti, Francesca Gagliardi
 
Advances in Latent Variables - Methods, Models and Applications Latent drop-out hidden Markov models with random effects Abstract
Maria Francesca Marino, Marco Alfò
 
Advances in Latent Variables - Methods, Models and Applications Latent Variable Analysis with Ordinal Data: Comparing the Structural Equation and the Rating Scale Models Abstract
Silvia Golia, Anna Simonetto
 
Advances in Latent Variables - Methods, Models and Applications Latent Variables Models with Simple Structure for Clustering and Data Reduction Abstract
Maurizio Vichi
 
Advances in Latent Variables - Methods, Models and Applications Likelihood inference for marked DSPPs with intensity driven by latent MPPs Abstract
Silvia Centanni, Marco Minozzo
 
Advances in Latent Variables - Methods, Models and Applications Literacy in mathematics and reading and its association with cultural behaviors. A LCRA application Abstract
Mariano Porcu, Nicola Tedesco
 
Advances in Latent Variables - Methods, Models and Applications Local dependence in latent class models: application to voting in elections Abstract
Daniel L. Oberski
 
Advances in Latent Variables - Methods, Models and Applications Macroeconomic forecasting through regularized reduced-rank regression Abstract
Gianluca Cubadda, Emmanuela Bernardini
 
Advances in Latent Variables - Methods, Models and Applications Marginal Models for Multivariate Hidden Markov Processes Abstract
Roberto Colombi, Sabrina Giordano
 
Advances in Latent Variables - Methods, Models and Applications Market segmentation via mixtures of constrained factor analyzers Abstract
Francesca Greselin, Salvatore Ingrassia
 
Advances in Latent Variables - Methods, Models and Applications Markov Switching GARCH models for Bayesian Hedging on Energy Futures Markets Abstract
Monica Billio, Roberto Casarin, Anthony Osuntuyi
 
Advances in Latent Variables - Methods, Models and Applications Measurement error modeling in regression models with IRT measures as covariates Abstract
Michela Battauz, Ruggero Bellio
 
Advances in Latent Variables - Methods, Models and Applications Measuring Human Capital in Higher Education Abstract
Pietro Giorgio Lovaglio, Gianmarco Vacca, Stefano Verzillo
 
Advances in Latent Variables - Methods, Models and Applications Measuring multidimensional polarization with ordinal data Abstract
Marco Fattore, Alberto Arcagni
 
Advances in Latent Variables - Methods, Models and Applications Measuring progress of our societies: a joint undertaking in the European Statistical System (ESS) Abstract
Marleen De Smedt
 
Advances in Latent Variables - Methods, Models and Applications Measuring school achievement in latent groups of students defined by their compliance behavior Abstract
Giulia Roli, Paola Monari
 
Advances in Latent Variables - Methods, Models and Applications Measuring spatial clustering of firms while controlling for latent spatial heterogeneity. An approach based on micro-geographic data Abstract
Diego Giuliani, Maria Michela Dickson, Giuseppe Espa
 
Advances in Latent Variables - Methods, Models and Applications Measuring well-being in Italy: the new challenges of Bes Abstract
Linda Laura Sabbadini
 
Advances in Latent Variables - Methods, Models and Applications Methods for the identification of spatial latent regimes Abstract
Maria Simona Andreano, Roberto Benedetti
 
Advances in Latent Variables - Methods, Models and Applications Mining the ambiguity: correspondence and network analysis for discovering word sense Abstract
Simona Balbi, Agnieszka Elzbieta Stawinoga
 
Advances in Latent Variables - Methods, Models and Applications Mixture versus loglinear models in contingency table analysis Abstract
Fabio Rapallo
 
Advances in Latent Variables - Methods, Models and Applications Modelling correlated consumers' preferences Abstract
Marcella Corduas
 
Advances in Latent Variables - Methods, Models and Applications Modelling Growth Trajectories of Job Satisfaction with Total Pay Using the Muthén-Roy Pattern-Mixture Model Approach Abstract
Maria de Fatima Salgueiro
 
Advances in Latent Variables - Methods, Models and Applications Modelling Job Satisfaction of Italian Graduates Abstract
Stefania Capecchi, Silvia Ghiselli
 
Advances in Latent Variables - Methods, Models and Applications Modelling longitudinal data through matrix-variate normal mixtures Abstract
Cinzia Viroli, Laura Anderlucci
 
Advances in Latent Variables - Methods, Models and Applications Modelling with heterogeneity Abstract
Tomas Aluja, Giuseppe Lamberti, Gaston Sanchez
 
Advances in Latent Variables - Methods, Models and Applications Mortality by education level at late-adult ages in Turin: a survival analysis using frailty models with period and cohort approaches. Abstract
Virginia Zarulli, Chiara Marinacci, Giuseppe Costa, Graziella Caselli
 
Advances in Latent Variables - Methods, Models and Applications Multiple TAU decomposition in mean effect and interaction term Abstract
Antonello D'Ambra, Anna Crisci
 
Advances in Latent Variables - Methods, Models and Applications Multivariate Parametric Analysis of Interval Data Abstract
Paula Brito, A. Pedro Duarte Silva, José G. Dias
 
Advances in Latent Variables - Methods, Models and Applications Net satisfaction: a different point of view on the measurement of subjective well-being Abstract
Chiara Saturnino, Daria Mendola
 
Advances in Latent Variables - Methods, Models and Applications Network estimation in econometrics Abstract
Matteo Barigozzi, Christian Brownlees
 
Advances in Latent Variables - Methods, Models and Applications Never leave a job undone. Fuzzy Markov chains for Italian university students’ retention Abstract
Franca Crippa, Marcella Mazzoleni, Mariangela Zenga
 
Advances in Latent Variables - Methods, Models and Applications Non-Metric PLS Path Modeling: the job success of Sapienza graduates Abstract
Francesca Petrarca
 
Advances in Latent Variables - Methods, Models and Applications Non-Symmetric Three-way Correspondence Analysis to Analyse Text Data in a Food Context Abstract
Rosaria Lombardo, Eric J. Beh, Luis Guerrero
 
Advances in Latent Variables - Methods, Models and Applications On Latent Conditional Distributions as Elicited from Medical Experts Abstract
Alessandro Magrini, Federico Mattia Stefanini, Davide Luciani
 
Advances in Latent Variables - Methods, Models and Applications On some statistical issues of structural kinetics models for metabolic pathways Abstract
Ivan Arcangelo Sciascia
 
Advances in Latent Variables - Methods, Models and Applications On the Notion of Latent Structure in the Statistical Reasoning Process Abstract
Renato Coppi
 
Advances in Latent Variables - Methods, Models and Applications Paesaggio e qualità della vita Abstract
Mauro Agnoletti
 
Advances in Latent Variables - Methods, Models and Applications Permutation testing for validating PCA Abstract
Isabella Endrizzi, Flavia Gasperi, Marit Rødbotten, Tormod Næs
 
Advances in Latent Variables - Methods, Models and Applications Poverty and Social Exclusion in Europe: Differences and Similarities across regions in recent years Abstract
Elena Pirani
 
Advances in Latent Variables - Methods, Models and Applications Predictive Mean Matching with Latent Variables, an application to the Business Census Survey Abstract
Roberta Varriale, Ugo Guarnera
 
Advances in Latent Variables - Methods, Models and Applications Process evaluation using latent variables: applications and extensions of finite mixture models Abstract
Richard Andrew Emsley, Graham Dunn
 
Advances in Latent Variables - Methods, Models and Applications Proximity-structured multivariate volatility models for systemic risk Abstract
Lorenzo Frattarolo, Monica Billio, Massimiliano Caporin, Loriana Pelizzon
 
Advances in Latent Variables - Methods, Models and Applications Purchasing in European Union: a multilevel latent class application Abstract
Chiara Dal Bianco, Omar Paccagnella, Roberta Varriale
 
Advances in Latent Variables - Methods, Models and Applications Quality of Work and Health Status Abstract
Tindara Addabbo, Marco Fuscaldo, Anna Maccagnan
 
Advances in Latent Variables - Methods, Models and Applications Regression to the mean Abstract
Annibale Biggeri, Dolores Catelan, Michela Baccini
 
Advances in Latent Variables - Methods, Models and Applications Regularized Generalized Canonical Correlation Analysis and PLS Path Modeling Abstract
Arthur Tenenhaus
 
Advances in Latent Variables - Methods, Models and Applications Research and Innovation in the measurement of well-being Abstract
Giorgio Sirilli
 
Advances in Latent Variables - Methods, Models and Applications Robust classification in market research Abstract
Gianluca Morelli
 
Advances in Latent Variables - Methods, Models and Applications Robust Credit Stress Testing Through a Cointegrated Framework Abstract
Tiziano Bellini
 
Advances in Latent Variables - Methods, Models and Applications SCREAM: A novel multi-way method for regression on tensors with shifts along one mode Abstract
Federico Marini, Rasmus Bro
 
Advances in Latent Variables - Methods, Models and Applications Semiparametric estimators of dose-response functions Abstract
Michela Bia, Alessandra Mattei, Carlos Flores, Alfonso Flores-Lagunes
 
Advances in Latent Variables - Methods, Models and Applications Sensory Analysis and Statisticians: a summary of a sensory event Abstract
Morena Lussignoli
 
Advances in Latent Variables - Methods, Models and Applications Sensory evaluation of wine in Italy and statistical analysis Abstract
Luigi Odello
 
Advances in Latent Variables - Methods, Models and Applications Separating between- and within- group associations and effects for categorical variables Abstract
Marcel August Croon, Margot Bennink
 
Advances in Latent Variables - Methods, Models and Applications Simple Linear Measurement Error Model estimated via Generalized Maximum Entropy for Ordinal Data Abstract
Enrico Ciavolino
 
Advances in Latent Variables - Methods, Models and Applications Simplifying complex latent class modeling using bias corrected three-step approaches Abstract
Jeroen Vermunt
 
Advances in Latent Variables - Methods, Models and Applications Single–Indicator SEM with Measurement Error. Case of Klein I Model Abstract
Adam Sagan, Barbara Pawełek
 
Advances in Latent Variables - Methods, Models and Applications Small and medium-sized firms and the current financial and economic crisis: a statistical perspective. Abstract
Paola Maddalena Chiodini, Cinzia Colapinto, Laura Gavinelli, Mariangela Zenga
 
Advances in Latent Variables - Methods, Models and Applications Smooth Nonparametric Heterogeneity Estimation with an Application to Meta-Analysis Abstract
Dankmar Boehning
 
Advances in Latent Variables - Methods, Models and Applications Some remarks on the Frechet means and the shape of the means in shape spaces Abstract
Alfred Kume
 
Advances in Latent Variables - Methods, Models and Applications Sparse Nonparametric Graphical Models for Random Effect Distribution in GLMMs Abstract
Sara Viviani, Marco Alfò, Pierpaolo Brutti
 
Advances in Latent Variables - Methods, Models and Applications Sparse orthogonal factor analysis Abstract
Kohei Adachi, Nickolay T. Trendafilov
 
Advances in Latent Variables - Methods, Models and Applications Sparse vs. simple structure loadings Abstract
Nickolay T. Trendafilov, Kohei Adachi
 
Advances in Latent Variables - Methods, Models and Applications Specification of random effects in multilevel models: an overview with focus on school effectiveness Abstract
Carla Rampichini, Leonardo Grilli
 
Advances in Latent Variables - Methods, Models and Applications Structural Equation Mixture Modeling: an application to Tuenti Spanish Online Social Networking Site Abstract
Cristina López, Vanessa Apaolaza, Patrick Hartmann
 
Advances in Latent Variables - Methods, Models and Applications Studying employment pathways of graduates by a latent Markov model Abstract
Fulvia Pennoni
 
Advances in Latent Variables - Methods, Models and Applications Studying hemodynamic forces via spatial regression models over non-planar domains Abstract
Bree Ettinger, Simona Perotto, Laura M. Sangalli
 
Advances in Latent Variables - Methods, Models and Applications Studying poverty over time: an analysis by gender and age in Europe Abstract
Daria Mendola, Annalisa Busetta
 
Advances in Latent Variables - Methods, Models and Applications Sub-national Differences in Leaving Lowest-low Fertility in Italy Abstract
Agnese Vitali, Francesco Candeloro Billari
 
Advances in Latent Variables - Methods, Models and Applications Survival models for credit risk estimation Abstract
Filomena Madormo, Fulvia Mecatti, Silvia Figini
 
Advances in Latent Variables - Methods, Models and Applications Tapering Space-Time Covariance Functions Abstract
Emilio Porcu, Viktor Zastavnyi, Moreno Bevilacqua
 
Advances in Latent Variables - Methods, Models and Applications Testing hypothesis in VARs with I(2) and near-I(2) latent stochastic trends Abstract
Francesca Di Iorio, Stefano Fachin, Riccardo Lucchetti
 
Advances in Latent Variables - Methods, Models and Applications Text Analytics: a Big Data Challenge Abstract
Vincenzo Altomonte
 
Advances in Latent Variables - Methods, Models and Applications The estimation of latent temporal patterns in multivariate geolocated time series Abstract
Francesco Finazzi, Marian Scott
 
Advances in Latent Variables - Methods, Models and Applications The Generalised Autocovariance Function Abstract
Tommaso Proietti, Alessandra Luati
 
Advances in Latent Variables - Methods, Models and Applications The INLA approach for disease mapping and health risk assessment Abstract
Michela Cameletti
 
Advances in Latent Variables - Methods, Models and Applications The Italian Couples' Division of Labour after a Birth: Do Gender Attitudes Matter? Abstract
Maria Gabriella Campolo, Antonino Di Pino, Ester Lucia Rizzi
 
Advances in Latent Variables - Methods, Models and Applications The Polychoric Ordinal Alpha, measuring the reliability of a set of polytomous ordinal items Abstract
Andrea Bonanomi, Marta Nai Ruscone, Silvia Angela Osmetti
 
Advances in Latent Variables - Methods, Models and Applications The Rasch model for measurement and the role of statistical modelling Abstract
Thomas Salzberger
 
Advances in Latent Variables - Methods, Models and Applications The real time ability of financial and real variables in nowcasting Abstract
Antonio Frenda, Luigi D'Ambra, Sergio Scippacercola
 
Advances in Latent Variables - Methods, Models and Applications The role of fixed-effects approaches in latent variable modeling Abstract
Anders Skrondal
 
Advances in Latent Variables - Methods, Models and Applications The Simple Sum Score Statistic in Taxicab Correspondence Analysis Abstract
Vartan Ohanes Choulakian
 
Advances in Latent Variables - Methods, Models and Applications The study of length of stay of patients in the geriatric ward using the Coxian phase-type distribution: the Emilia Romagna example Abstract
Adele H. Marshall, Hannah Mitchell, Mariangela Zenga
 
Advances in Latent Variables - Methods, Models and Applications The Turkish second generation in Europe: family life trajectories and independence in the transition to adulthood Abstract
Nicola Barban, Helga A.G. De Valk
 
Advances in Latent Variables - Methods, Models and Applications Three-step estimation of latent Markov models with covariates and possible dropout Abstract
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
 
Advances in Latent Variables - Methods, Models and Applications Time pattern of remittance behaviours in Italy Abstract
Annalisa Busetta, Valeria Cetorelli, Manuela Stranges
 
Advances in Latent Variables - Methods, Models and Applications Towards measuring the sustainability of well-being Abstract
Fabiola Riccardini
 
Advances in Latent Variables - Methods, Models and Applications Uncovering the latent structure in sensory data Abstract
El Mostafa Qannari
 
Advances in Latent Variables - Methods, Models and Applications Understanding equity in work through job quality: A comparative analysis between disabled and not disabled graduates by means of a new composite indicator Abstract
Giovanna Boccuzzo, Licia Maron
 
Advances in Latent Variables - Methods, Models and Applications University Effectiveness measured through Postgraduate Employability Abstract
Daniele Toninelli, Silvia Biffignandi
 
Advances in Latent Variables - Methods, Models and Applications Uses of Structural Equation Models to downstream analysis of comparative microarray data Abstract
Daniele Pepe, Davide Guido, Mario Grassi
 
Advances in Latent Variables - Methods, Models and Applications Using SAS PROC MCMC to Estimate and Evaluate Item Response Theory Models Abstract
Clement Stone
 
Advances in Latent Variables - Methods, Models and Applications Visualization and Analysis of Large Datasets by Beanplot PCA Abstract
Carlo Drago, Carlo Lauro, Germana Scepi
 
Advances in Latent Variables - Methods, Models and Applications Visualizing Similarities in the Rasch Model response patterns with VOSviewer Abstract
Tommaso Lando
 
Advances in Latent Variables - Methods, Models and Applications Volatility Dependent Conditional Correlation Models Abstract
Edoardo Otranto, Luc Bauwens
 
Advances in Latent Variables - Methods, Models and Applications Vulnerability Measures in the BES Framework Abstract
Adolfo Morrone
 
Advances in Latent Variables - Methods, Models and Applications What employers prefer in graduates’ attributes and skills Abstract
Rolf Van der Velden, Martin Humburg
 
Advances in Latent Variables - Methods, Models and Applications What Makes Residential Different from Non-Residential REITs? Evidence from Multi-Factor Asset Pricing Models Abstract
Daniele Bianchi, Massimo Guidolin, Francesco Ravazzolo
 
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