Dootika Vats

Email: vatsx007 (at) umn (dot) edu

PhD Candidate
School of Statistics
University of Minnesota - Twin Cities

About Me

I am a 5th year PhD student in the School of Statistics at the University of Minnesota. I am working on Markov chain Monte Carlo (MCMC) algorithms with Prof. Galin Jones. In particular, my work is on multivariate estimation of Monte Carlo standard error and sequential rules for termination. I am also interested in studying convergence rates of MCMC samplers and the practice of MCMC. For the academic year 2016-2017, my research is supported by the Louise T. Dosdall Fellowship.

Here is my CV.

Here are some interesting algorithms or samplers I have tried. Most of these should have code in them for people to use/re-use.


Ph.D., Statistics ongoing University of Minnesota
M.S., Statistics 2012 Rutgers University
B.A., Mathematics 2010 Lady Shri Ram College


D. Vats. Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models. arXiv
D. Vats, J. M. Flegal, G. L. Jones. Multivariate Output Analysis for Markov Chain Monte Carlo. arXiv
D. Vats, J. M. Flegal, G. L. Jones. Strong Consistency of Multivariate Spectral Variance Estimators in Markov Chain Monte Carlo. arXiv


R Package mcmcse: Monte Carlo standard errors in Markov chain Monte Carlo (with J. M. Flegal, John Hughes). vignette.


Stat 3011 - Introduction to Statistical Analysis (Spring 2015)