I am an associate professor in the Department of Statistics at The Ohio State University. My research interests include uncertainty quantification and statistical inverse problems.
1958 Neil Avenue, 429 Cockins Hall
Columbus, OH 43210-1247
Garcia, Y.E., Chkrebtii, O.A., Capistran, M.A., Noyola, D.E., "Identifying Individual Disease Dynamics in a Stochastic Multi-pathogen Model from Aggregated Reports and Laboratory Data". Preprint now available.
This paper is joint work with: Erin K. Cameron, David A. Campbell, Erin Bayne. A story about our results appeared in OSU Research News, written by Pam Frost Gorder and entitled: "Invasion of the earthworms, mapped and analyzed"; also a radio segment was produced for the Academic Minute, available on Inside Higher ED.
My PhD thesis, "Probabilistic solution of differential equations for Bayesian uncertainty quantification and inference" , is available here.
I am interested in nonparameteric regression and functional data analysis. Two recent publications in this area are:
Much of my work involves estimating functionals of complex multivariate distributions, which requires extensive use of Markov Chain Monte Carlo (MCMC) methods. For this reason I am interested in recent advances in MCMC sampling and stochastic computation. Related to the problem of inference for computer experiments, I have been studying polynomial chaos representations of stochastic processes, both for emulation (non-intrusive methods) and for estimating solutions of systems of stochastic differential equations.
Copyright (c) 2016 Oksana Chkrebtii