Workshop on Point Process Models

 

WORKSHOP SCHEDULE:

Friday, September 28, 2018
Stephen Hawking Auditorium, Mitchell Institute

1:30 – 1:40 Opening Remarks

1:40 – 2:30 Jesper Møller, Mathematical Sciences, Aalborg University
Determinantal Point Processes and their Usefulness in Spatial Statistics

2:30 – 3:20 Ali Shojaie, Biostatistics, University of Washington
Learning Connectivity Networks from High-Dimensional Point Processes

3:20 – 3:40 Break
MPHY Foyer

3:40 – 4:30 Patrick Brown, Statistics, University of Toronto
Aggregated Spatial Point Processes and the Root-Gaussian Cox Process

4:30 – 5:00 Matthew Heaton, Statistics, Brigham Young University
Assessing Complex Relationships among Dominant Tree Species Using Spatial Multivariate Bernoulli Models

5:30-7:30 Poster Session & Reception
Penrose Plaza, Mitchell Institute Foyer

 

Saturday, September 29, 2018
Stephen Hawking Auditorium, Mitchell Institute

8:00 – 8:30 Breakfast (included)
MPHY Foyer

8:30 – 9:20 Rick Schoenberg,  UCLA Statistics
A Recursive Model for Infectious Diseases

9:20 – 10:10 Ji Meng Loh, Mathematical Sciences, New Jersey Institute of Technology
Weighted PSVM for Inhomogeneous Spatial Point Processes

10:10 – 10:30 Break
MPHY Foyer

10:30 -11:20 Yongtao Guan, Management Science, University of Miami
A Bivariate Point Process Model with Application to Social Media User Content Generation

11:20 – 11:50 Matthias Katzfuss, TAMU Statistics
A Vecchia-Laplace Approximation for Generalized Gaussian Processes

11:50 – 1:00  Lunch (included)
Fisher Bowl, Room 453, Blocker Building

1:00 – 1:50 Alan Gelfand, Statistics, Duke University
Velocities for processes in continuous space and time

1:50 – 2:20 Huiyan Sang, TAMU Statistics
Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets

2:20 – 2:40 Break
MPHY Foyer

2:40 – 3:30 Dani Gamerman, Statistics, Federal University of Rio de Janeiro
Bayesian Inference for Spatiotemporal Point Processes

3:30 – 4:20 W. John Braun, CANSSI-INCASS & PIMS-STATMOS Node
A Hierarchical Point Process Model for Storm Cells

4:20 – 4:50 Mikyoung Jun, TAMU Statistics
Global Multivariate Point Pattern Models for Rain Type

5:30-7:30 Dinner
Statesman II Ballroom, The George Hotel, 180 Century Ct, College Station

 

REGISTRATION FEE: 

Non-TAMU Affiliates – $50 per person
TAMU Affiliates – No charge

 

Registration is Now Closed

 

Organizing Committee: Mikyoung Jun, Matthias Katzfuss and Huiyan Sang.

Event Coordinator: Elaine James

 

 


SPONSORS

 

Department of Statistics, Texas A&M University

Institute for Applied Mathematics and Computer Science (IAMCS)

Statistical Methods for Atmospheric and Oceanic Sciences (STATMOS)

National Institute of Statistical Sciences (NISS)