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Dr Dootika Vats

About Me

I am an NSF postdoctoral fellow in the Department of Statistics at the University of Warwick. My sponsoring mentor is Prof. Gareth Roberts. I am currently studying computational complexity for Markov chain Monte Carlo samplers used in high-dimensional Bayesian models. I am also interested in methods for intractable likelihood problems and output analysis for (Markov chain) Monte Carlo methods.

Before joining Warwick, I graduated with a PhD from the School of Statistics at the University of Minnesota working with Prof. Galin Jones. My thesis was on output analysis for Markov chain Monte Carlo. Before Minnesota, I obtained my Masters from Rutgers University and completed my undergrad from Lady Shri Ram College for Women, New Delhi, India.

(PDF Document) Curriculum Vitae (Updated May, 2018).

For 2017-2018, I am co-organizing the Algorithms & Computaionally Intensive Inference seminar series with Murray Pollock.


  • 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. (2018) Strong Consistency of Multivariate Spectral Variance Estimators in Markov Chain Monte Carlo. Bernoulli, 24:1860-1909. Read Here. arXiv.
  • D. Vats. (2017) Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models. Electronic Journal of Statistics, 11 (2) 4033-4064. Read Here.


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Dootika Vats

NSF Postdoctoral Fellow
Department of Statistics
University of Warwick

D.Vats (at) warwick (dot) ac (dot) uk

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