Ed Ionides: Publications

Ionides, E. L., Bhadra, A. and King, A. A. (2009). Iterated filtering. Submitted for publication.

He, D., Ionides, E. L. and King, A. A. (2009). Plug-and-play inference for disease dynamics: measles in large and small towns as a case study. Journal of the Royal Society Interface, prepublished online.

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.

Schweigler, L. M., Desmond, J. S., McCarthy, M., Bukowski, K., Ionides, E. L., and Younger, J. G. (2009) Forecasting Models of Emergency Department Crowding. Academic Emergency Medicine 16 301-308.

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

Ionides, E. L. (2008). Truncated Importance Sampling. Journal of Computational and Graphical Statistics 17 295-311. pdf pre-print.

Tapia Granados, J. A. and Ionides, E. L. (2008). The reversal of the relation between economic growth and health progress: Sweden in the 19th and 20th centuries. Journal of Health Economics 27 544-563. Supporting material and pdf copy available online.

Ionides, E. L. (2007). Discussion of ``Parameter Estimation for Differential Equations: A Generalized Smoothing Approach,'' (by J. O. Ramsay, G. Hooker, D. Campbell and J. Cao). Journal of the Royal Statistical Society, Series B (Statistical Methodology) 69 783-784.

Ionides, E. L., Breto, C. and King, A. A. (2007). Modeling Disease Dynamics: Cholera as a Case Study. Statistical Advances in the Biomedical Sciences, Chapter 8 (pp. 123-140). Edited by A. Biswas, S. Datta, J. Fine and M. Segal. Wiley, Hoboken NJ.

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. Supporting online material. Pdf copy of article and supporting text.

Greene, S. K., Ionides, E. L. and Wilson, M. L. (2006). Patterns of Influenza-Associated Mortality Among U.S. Elderly by Geographic Region and Virus Subtype, 1968-1998 . American Journal of Epidemiology 163 316-326.

Ionides, E. L. (2005). Maximum Smoothed Likelihood Estimation. Statistica Sinica 15 1003-1014.

Gage, G. J., Ionides, E. L. and Kipke, D. (2005). Information Capacity of Brain Machine Interfaces. Proceedings of the 27th Conference of IEEE Engineering in Medicine and Biology Society 2110-2113.

Gage, G. J., Ludwig, K., Otto, K., Ionides, E. L. and Kipke, D. (2005). Naive coadaptive cortical control. Journal of Neural Engineering 2 52-63.

Ionides, E. L., Fang, K.S., Isseroff, R.R. and Oster, G.F. (2004). Stochastic models for cell motion and taxis. Journal of Mathematical Biology 48, 23-37. pdf pre-print.

Ionides, E. L. (2003). Inference and Filtering for Partially Observed Diffusion Processes via Sequential Monte Carlo. University of Michigan Statistics Department Technical Report #405. Updated version.

Ionides, E. L. (2001). Statistical Analysis of Cell Motion. University of California, Berkeley thesis.

Fang, K.S., Ionides, E., Oster, G., Nuccitelli, R. and Isseroff, R.R. (1999). Epidermal Growth Factor Relocalization and Kinase Activity Are Necessary for Directional Migration of Keratinocytes in DC Electric Fields . Journal of Cell Science 112, 1967-1978.

Slides for selected talks

Infectious disease dynamics: a statistical perspective, with recorded presentation.

Rapid loss of immunity is necessary to explain historical cholera epidemics.

The theory and practice of iterated filtering: discussion for the SAMSI workshop on Sequential Monte Carlo methods, Fall 2008.

Time series analysis via mechanistic models.

The reversal of the relation between economic growth and health progress: Sweden in the 19th and 20th centuries.

Time series analysis of infectious disease dynamics, for workshop on Research and Policy in Infectious Disease Dynamics, April 2008.

Time series analysis via mechanistic models: discussion for JSM2008 invited session.