Invited Paper Session

Deep learning for statistical inference on spatial data

Wed, Aug 5, 8:30 AM - 10:20 AM Room CC-210C Thomas M. Menino Convention & Exhibition Center

Reetam MajumderOrganizerReetam MajumderChair

Section on Statistics and the Environment co: Section on Statistical Computingco: Uncertainty Quantification in Complex Systems Interest Group Applied

3 Presentations

Neural Parameter Estimation with Incomplete Data

9:00 AM - 9:25 AM

Raphael Huser (KAUST)

amortized inference likelihood-free inference missing data Monte Carlo EM algorithm neural Bayes estimator simulation-based inference

Presentation

8:35 AM - 9:00 AM

Brian Reich (North Carolina State University)

Using Neural Estimators to Nonlinear Relationships in Spatio-Temporal Environmental Extremes Data via Renyi Transfer Entropy

9:25 AM - 9:50 AM

Christopher Wikle (University of Missouri)

spatio-temporal dynamics deep learning extremes entropy

Discussant

Abhirup Datta (Johns Hopkins University)