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* = applied session ! = JSM meeting theme
Activity Details
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12 * !
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Sun, 8/8/2021,
1:30 PM -
3:20 PM
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Virtual
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High-Dimensional Parameter Learning on Spatio-Temporal Hidden Markov Models and Its Applications in Epidemiology — Invited Papers
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IMS, Section on Statistics in Epidemiology, General Methodology
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Organizer(s): Ning Ning, University of Michigan, Ann Arbor
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Chair(s): Ning Ning, University of Michigan, Ann Arbor
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1:35 PM
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Modeling Epidemic Control Using Markovian and Non-Markovian Partially Observed Systems
Ya'acov Ritov, University of Michigan; Hamid Eftekhari, University of Michigan; Debarghya Mukherjee, University of MIchigan; Moulinath Banerjee, University of Michigan
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1:50 PM
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Bagged filters for inference on metapopulation dynamics, with epidemiological applications
Edward L Ionides, University of Michigan, Ann Arbor
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2:05 PM
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A Bayesian Spatio-Temporal Approach for Estimating County-Level Opioid Misuse Rates in Ohio
Staci Hepler, Wake Forest University; David Kline, The Ohio State University; Lance Waller, Emory University
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2:20 PM
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An Approximate Joint Distribution for Stochastic Differential Equations, with Application to Modeling the COVID-19 Epidemic in Pennsylvania, Rhode Island, and Massachusetts
Ephraim Hanks, Penn State University
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2:35 PM
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Understanding Complex and Fine-Scale Animal Behavior with Hidden Markov Models
Marie Auger-Methe, The University of British Columbia; Ron R Togunov, The University of British Columbia; Nancy Heckman, The University of British Columbia; Evan Sidrow, The University of British Columbia
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2:50 PM
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Partially Observed Time Series Models Using Long Short-Term Memory Models
Yves Atchade, Boston University
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3:05 PM
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Floor Discussion
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