JSM2024
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Contributed Papers

Dealing with Large, Complex, Gaussian and Non-Gaussian Spatio-Temporal Datasets

Sun, Aug 4, 2:00 PM - 3:50 PM
Andrew HoeghChair
Section on Statistics and the Environment

7 Presentations

A Comprehensive Framework Integrating Extreme Precipitation Projection and Watershed Modeling
2:05 PM - 2:20 PM
Shalini Mahanthege (University Of Missouri Columbia)
Co-authors: Likun Zhang (University of Missouri-Columbia), Benjamin Shaby (Colorado State University), Christopher Steward (University of Missouri), Noel Aloysius (University of Missouri)
A reproducible uncertainty quantification framework for ocean heat via local conditional simulations
2:20 PM - 2:35 PM
Thea Sukianto (Carnegie Mellon University)
Co-authors: Donata Giglio (University of Colorado Boulder), Mikael Kuusela (Carnegie Mellon University)
Data Sketching and Stacking: A Strategy for Ultra-High Dimensional Gaussian Process Regression
2:35 PM - 2:50 PM
Samuel Gailliot (Texas A&M University)
Co-authors: Rajarshi Guhaniyogi (Texas A&M University), Roger Peng (University of Texas, Austin)
Fast Gaussian Processes for Bayesian non-parametric inference: How smooth is your latent process?
2:50 PM - 3:05 PM
Jonathan Stroud (Georgetown University)
Co-authors: Wesley Burr, Monica Pirani (Imperial College), Edward Boone (Virginia Commonwealth University), Ben Swallow, Matthew Wheeler
Hierarchical Spatial Modeling for Complex Datasets via Distributed Stochastic Variational Inference
3:05 PM - 3:20 PM
Jin Hyung Lee (George Mason University)
Co-authors: Seiyon Lee (George Mason University)
Large-Scale Data Challenges: Instability in Statistical Learning
3:20 PM - 3:35 PM
Bo-yu Chen
Co-authors: Hao Zhang (Purdue University)
Modeling observation-level verification designs within a count-detection framework
3:35 PM - 3:50 PM
Katharine Banner (Montana State University)
Co-authors: Jacob Oram (Montana State University), Christian Stratton (Montana State University), Kathryn Irvine
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