Statistics Seminar: Agent-Based Methods for Collective Animal Movement
- Thursday, November 7, 2019 from 4:00pm to 5:00pm
- Wilson Hall, 1-134 - view map
Dr. Andrew Hoegh, a statistics faculty member at MSU will give a seminar.
Title: Agent-Based Methods for Collective Animal Movement
Abstract: Collective animal movement is characterized by animals that interact and influence each other's movement by attractive and/or repulsive forces. These attractive or repulsive forces can lead to complicated non-linear interaction between individuals that present challenges in fitting traditional statistical models. Agent-based models are defined by a set of agents, in this case animals, that interact based on pre-defined rules. Viewing agent-based models through the lens of Bayesian state-space models, enables model fitting using particle Markov Chain Monte Carlo (P-MCMC) or Approximate Bayesian Computation (ABC). This talk will provide an overview of statistical agent-based models and discuss computational challenges in estimating parameters.
- Department of Mathematical Sciences