Program

The program for this conference is available via the following link.
GRASPA 2015 CONFERENCE PROGRAM AND BOOK OF ABSTRACTS

GRASPA 2015 SHORT PROGRAM

Monday - June 15, 2015

8.30-9.00            Registration

9.00-9.30            Conference Opening and Welcome Address

9.30-10.15          Keynote lecture 1: Visualising the Environment: Data, Models and Graphics

10.15-10.35        Coffee break

10.35-11.35        Poster snapshot session 1

11.35-12.50        Invited track 1: Sampling Strategies for Design-Based Inference on Animal and Plant Communities

12.50-13.40        Lunch break

13.40-14.40        Poster snapshot session 2

14.40-15.55        Invited track 2: Analysis of Spatio-Temporal Data

15.55-16.15        Coffee break

16.15-17.30        Invited track 3: Environmental Official Statistics: Developments and Challenges

17.30-18.25        Invited track 4: Recent Developments in Latent Variable Models with Environmental Applications

18.25-19.20        Invited track 5: New Monitoring Systems for Environmental Data: Statistical Challenges

21.00                 Social dinner

 

Tuesday - June 16, 2015

9.00-9.45            Keynote lecture 2: Frequency Domain Methods for the Analysis of Stationary Spatio-Temporal Random Processes

9.45-10.45          Contributed papers sessions 1 and 2

10.45-11.05        Coffee break

11.05-12.20        Invited track 6: Statistics for Functional Data with Complex Dependencies

12.20-13.15        Invited track 7: Data, Models and Statistical Problems in Climate Monitoring

13.15-14.05        Lunch break

14.05-15.00        Invited track 8: Modelling Ecological Data

15.00-15.55        Invited track 9: Advances in Directional Statistics

15.55-16.15        Coffee break

16.15-17.30        Invited track 10: Statistical Modelling of Environmental Phenomena and their Interactions

17.30-17.50        Best Poster Awards and Closing Ceremony

17.50-18.50        GRASPA-SIS General Annual Meeting

 

Wednesday - June 17, 2015

Post-conference short course: An Introduction to Flexible Regression for Environmental Data

9.30-11.00          Session 1: Methods of Flexible Regression (1, 2, 3 dimensions)

11.00-11.20        Coffee break

11.20-12.50        Session 2: Spatial and Spatiotemporal Data

12.50-13.30        Lunch break

13.30-15.00        Session 3: Additive Models

15.00-15.20        Coffee break

15.20-16.50        Session 4: Gaussian Process and Other Models

 

 



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