Dootika Vats

Email: vatsx007 (at) umn (dot) edu
School of Statistics
University of Minnesota - Twin Cities

About Me

I recently graduated with a PhD from the School of Statistics at the University of Minnesota. My thesis advisor was Prof. Galin Jones. I work on output analysis for Markov chain Monte Carlo (MCMC) algorithms and rate of convergence of samplers. In March, I will join the i-like program as a postdoctoral research associate.

Here is my CV.

Here, I have played around with some samplers/algorithms/ideas. I hope to keep adding articles to the page.


Ph.D., Statistics Feb, 2017 University of Minnesota
M.S., Statistics Nov, 2016 University of Minnesota
M.S., Statistics May, 2012 Rutgers University
B.A., Mathematics May, 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. Bernoulli, to appear. 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)