JSM2023
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Invited Paper Session

Likelihood-Free Inference for Complex and Large Environmental Data

Mon, Aug 7, 10:30 AM
Raphael HuserOrganizerAmanda LenziChair
Section on Statistics and the Environment

3 Presentations

Fast Optimal Estimation with Intractable Models using Permutation-Invariant Neural Networks
10:30 AM - 12:20 PM
Matthew Sainsbury-Dale (University of Wollongong)
Co-authors: Andrew Zammit-Mangion (University of Wollongong), Raphael Huser (KAUST)
Fitting models for large environmental datasets using histogram summaries
10:30 AM - 12:20 PM
Scott Sisson (University of New South Wales, Sydney)
Neural likelihood surface estimation for intractable spatial models
10:30 AM - 12:20 PM
Mikael Kuusela (Carnegie Mellon University)

Discussant

Christopher Wikle (University of Missouri-Columbia)
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