69 citations · 130 across the 29 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ME2020★ 1 cited
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
Devin S. Johnson, Brian M. Brost, Mevin B. Hooten
We propose a multistage method for making inference at all levels of a Bayesian hierarchical model (BHM) using natural data partitions to increase efficiency by allowing computatio…
cs.LG2020★ 1 cited
Bayesian Inverse Reinforcement Learning for Collective Animal Movement
Toryn L. J. Schafer, Christopher K. Wikle, Mevin B. Hooten
Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are typically set a priori and parameters are tuned fr…