Dootika Vats
Department of Mathematics and Statistics, IIT Kanpur.
dootika *at* iitk.ac.in
I am an Assistant Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology, Kanpur. Before moving to Kanpur, I was an NSF Postdocotoral fellow with Prof. Gareth Roberts. My PhD was from the School of Statistics at the University of Minnesota, Twin-Cities working with Prof. Galin Jones.
I work in the general area of Bayesian computation and specifically focus on Markov chain Monte Carlo. My collaborators and I develop theoretically founded and practically relevant tools for MCMC output analysis (see software tab). I am also interested in the theoretical properties of Markov chain samplers including rates of convergence.
Students: If you’re interesed in working with me, see students tab.
Quick links:
- Student Seminar Series
- Course webpage: MTH707a
Upcoming Talks:
- June 24-26, EcoSta 2021 (Virtual)
news
| Dec 6, 2020 | Our work on “Batch size selection for variance estimators in MCMC” has been accepted in Methodology and Computing in Applied Probability! Co-authors: Ying Liu and James Flegal. |
| Sep 19, 2020 | Our work on “Revisiting the Gelman-Rubin diagnostic” has been accepted in Statistical Science! Co-author: Christina Knudson and R package is here. |
| Sep 4, 2020 | Our work on “Assessing and visualizing simultaneous simulation error” has been accepted in JCGS! Co-authors: Nathan Robertson, James Flegal and Galin Jones. |
| Sep 3, 2020 | Medha Agarwal and I proposed globally-centered autocovariances for multiple Markov chains. The new ACF plots are remarkably improved! Paper, Webpage, and R package. |
| Aug 30, 2020 | Ayush Agarwal completed his Google Summer of Code project under my mentorship. The qbld R package implements a Bayesian quantile regression model for binary longitudinal data. |