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 Teaching: STATS 401: Applied Statistical Methods II MATH/STATS 425: Introduction to Probability STATS/DATASCI 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: Ionides, E. L., Asfaw, K., Park, J., and King, A. A. (2021). Bagged filters for partially observed interacting systems. Journal of the American Statistical Association, prepublished online. doi. arxiv. github 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. 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. 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. 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. supporting text.