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Dootika Vats

Dootika Vats

( PhD: University of Minnesota)

Assistant Professor, Department of Mathematics & Statistics

Research Interest

Markov chain Monte Carlo, Monte Carlo, Bayesian computation, Bayesian statistics

Room No. FB 580 (Faculty Building),
IIT Kanpur, Kanpur 208016.

Education

Feb 2017 PhD, Statistics,The University of Minnesota, Twin-Cities, MN.

Nov 2016 MS, Statistics,The University of Minnesota, Twin-Cities, MN.

May 2012 MS, Statistics,Rutgers University, New Brunswick, NJ.

May 2010 BA(honors), Mathematics,University of Delhi, Lady Shri Ram College, India.

Teaching Area

University of Minnesota

Instructor, STAT 3011 - Introduction to Statistical Analysis, Spring 2015 Teaching Assistant, for undergrad and grad statistics courses, 2012–2015 Resource Instructor, College of Science and Engineering, New Grad Student Orientation, Summer 2013

Rutgers University

Part Time Lecturer, Calculus and pre-calculus, 2011–2012Grader, Introduction to Mathematical Reasoning, Fall 2010

Previous Work Experience

Google Summer of Code Participant, R package mcmcse., Summer 2015
Mathematical Statistician, United States Department of Energy, Washington, D.C., Summer 2011
Statistical Intern, ESPN Cricinfo, Bengaluru, India, Summer 2010

Selected Publications

Vats, D., Robertson, N., Flegal, J.M., Jones, G.L., Analyzing MCMC Output, WIREs Computational Statistics, to appear.
Vats, D., Flegal, J.M., Jones, G.L., Multivariate Output Analysis for Markov Chain Monte Carlo, Biometrika, 106:321-337.
Vats, D., Flegal, J.M., Jones, G.L., (2018) Strong Consistency of Multivariate Spectral Variance Estimators in Markov Chain Monte Carlo, Bernoulli, 24:1860-1909.
Vats, D., (2017) Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models, Electronic Journal of Statistics, 11:4033-4064.
Preprints
Robertson, N., Flegal, J.M., Jones, G.L.,Vats, D., New Visualizations for Monte Carlo Simulations, arXiv.
Liu, Y., Vats, D., Flegal, J.M., Optimal Batch Sizes for Variance Estimators in MCMC, arXiv.
Vats, D., Knudson, C., Revisiting the Gelman-Rubin Diagnostic, arXiv
Vats, D., Flegal, J.M., Lugsail Lag Windows and their Application to MCMC, arXiv
Vats, D., Andrieu, C., Multivariate Ordering of Markov Chains.
Book Reviews
Vats, D., Simulation and the Monte Carlo Method, 3rd ed. by Reuven Y. Rubinstein and Dirk P. Kroese (2019), Journal of the American Statistical Association, DOI.

Awards & Fellowships

Director’s Award, awarded for outstanding service to the School of Statistics, 2016
Graduate Research Partnership Program Fellowship, Summer 2016
Louise T. Dosdall Fellowship, endowed fellowship for women in STEM, 2016–2017
School of Statistics Alumni Fellowship, awarded to an outstanding student, 2015–2016
Martin - Buehler Fellowship in Statistics, for travel support, Fall 2015
Bernard W. Lindgren Graduate Student Teaching Award, for excellence in teaching, Spring 2014
Lynn Lin Fellowship in Statistics, for promise in statistical consulting, Summer 2014