JSM2024
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Contributed Papers

Novel Methods for Spatio-Temporal Data with Environmental Applications

Wed, Aug 7, 2:00 PM - 3:50 PM
Mena WhalenChair
Section on Statistics and the Environment

7 Presentations

A Deep Learning Approach for Categorizing Spatial Snapshots via Spatio-Temporal Displacement
2:05 PM - 2:20 PM
Seiyon Lee (George Mason University)
Design of Experiments for Fractional Partial Differential Equations
2:20 PM - 2:35 PM
Edward Boone (Virginia Commonwealth University)
Co-authors: Ryad Ghanam (Virginia Commonwealth University in Qatar)
Guaranteed Estimation in Highly Noisy Environments with Strong Temporal Dependence
2:35 PM - 2:50 PM
Reza Sadeghi Hafshejani (Southern Methodist University)
Co-authors: Mohamad Kazem Shirani Faradonbeh (Southern Methodist University)
Guaranteed Longitudinal Learning under Temporal Dependence
2:50 PM - 3:05 PM
Mohamad Kazem Shirani Faradonbeh (Southern Methodist University)
Nonparametric Bayesian approach to learning high-dimensional spatio-temporal dynamics.
3:05 PM - 3:20 PM
Marcin Jurek (Southern Methodist University)
Spatio-Temporal Causal Inference with Stochastic Interventions: Linking Climate Change to Health
3:20 PM - 3:35 PM
Nathan Wikle (University of Iowa)
Co-authors: Corwin Zigler (University of Texas at Austin)
Spatio-Temporal Change of Support Applied to South Dakota Area Deprivation Index Rankings
3:35 PM - 3:50 PM
Hossein Moradi Rekabdarkolaee (South Dakota State University)
Co-authors: Annika Spors (South Dakota State University), Semhar Michael (South Dakota State University)
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