Edward Ionides

Edward Ionides
Professor of Statistics
The University of Michigan
1085 South University Ave
Ann Arbor, MI 48109-1107
Phone: 734.615.3332
Fax: 734.763.4676
E-mail: ionides@umich.edu
Office: 453 West Hall

STATS 401: Applied Statistical Methods II
MATH/STATS 425: Introduction to Probability
STATS 531: Analysis of Time Series
STATS 620: Applied Probability and Stochastic Modeling
STATS 810: Literature Proseminar
Research interests:
Time series analysis with applications including ecology, epidemiology and health economics. Methodological work on inference for partially observed stochastic dynamic systems.

All publications; Student research; Slides for some talks; The R package pomp; Curriculum vitae.

Short courses:
Simulation-based inference for epidemiological dynamics
Likelihood-based inference for dynamic systems

Selected publications:
Breto, C., Ionides, E. L., and King, A. A. (2019). Panel data analysis via mechanistic models. Journal of the American Statistical Association 115 1178-1188. doi. arxiv. code on github.

Ionides, E. L., Breto, C., Park, J., Smith, R. A. and King, A. A. (2017). Monte Carlo profile confidence intervals for dynamic systems. Journal of the Royal Society Interface 14 1-10. open access. arxiv.

Smith, R. A., Ionides, E. L. and King, A. A. (2017). Infectious disease dynamics inferred from genetic data via sequential Monte Carlo. Molecular Biology and Evolution 34 2065-2084. open access. biorxiv. code on dryad.

Ionides, E. L., Nguyen, D., Atchade, Y., Stoev, S. and King, A. A. (2015). Inference for dynamic and latent variable models via iterated, perturbed Bayes maps. Proceedings of the National Academy of Sciences of the USA 112 719-724. doi. pdf.

Ionides, E. L, Bhadra, A., Atchade, Y. and King, A. A. (2011). Iterated filtering. Annals of Statistics 39 1776-1802. doi. pdf. ArXiv.

Bhadra, A., Ionides, E. L., Laneri, K., Pascual, M., Bouma, M. and Dhiman, R. C. (2011). Malaria in Northwest India: Data analysis via partially observed stochastic differential equation models driven by Levy noise. Journal of the American Statistical Association 106 440-451. doi.

Breto, C., He, D., Ionides, E. L. and King, A. A. (2009). Time series analysis via mechanistic models. Annals of Applied Statistics 3 319-348. doi. pdf. ArXiv.

King, A. A., Ionides, E. L., Pascual, M. and Bouma, M. J. (2008). Inapparent infections and cholera dynamics. Nature 454 877-880. doi.

Ionides, E. L., Breto, C. and King, A. A. (2006). Inference for nonlinear dynamical systems. Proceedings of the National Academy of Sciences 103 18438-18443. doi. Supporting online material. pdf and supporting text.