Edward Ionides

Professor, Statistics, LSA

Time series analysis with applications to ecology, epidemiology, health economics, cell motion and neuroscience. Methodological work on inference for partially observed stochastic dynamic systems.

The IF2 algorithm (Ionides, EL, D Nguyen, Y Atchade, S Stoev and AA King., 2015, "Inference for dynamic and latent variable models via iterated, perturbed Bayes maps," PNAS 112:719-724). — The IF2 algorithm (Ionides, EL, D Nguyen, Y Atchade, S Stoev and AA King., 2015, “Inference for dynamic and latent variable models via iterated, perturbed Bayes maps,” PNAS 112:719-724).

COntact

ionides@umich.edu

Location

Ann Arbor

Methodologies

Mathematical and Statistical Modeling / Statistics