Online Program Home
  My Program

All Times EDT

* = applied session       ! = JSM meeting theme

Activity Details

12 * ! Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
High-Dimensional Parameter Learning on Spatio-Temporal Hidden Markov Models and Its Applications in Epidemiology — Invited Papers
IMS, Section on Statistics in Epidemiology, General Methodology
Organizer(s): Ning Ning, University of Michigan, Ann Arbor
Chair(s): Ning Ning, University of Michigan, Ann Arbor
1:35 PM 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
1:50 PM Bagged filters for inference on metapopulation dynamics, with epidemiological applications
Edward L Ionides, University of Michigan, Ann Arbor
2:05 PM 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
2:20 PM 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
2:35 PM 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
2:50 PM Partially Observed Time Series Models Using Long Short-Term Memory Models
Yves Atchade, Boston University
3:05 PM Floor Discussion