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 algorithms. 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.
- I am unable to accept any UGP/Project request over the summer and next semester
- Computational Statistics Reading Group at IIT Kanpur
- 8th-9th July, 6th EAC-ISBA, Feng Chia University, Taiwan (online).
|Jun 14, 2022||Sanket Agrawal’s work on on “Optimal Scaling of MCMC Beyond Metropolis” has been accepted for publication in the Advances in Applied Probability! Co-authors: Gareth O. Roberts and Krzysztof Łatuszyński.|
|May 8, 2022||I am delighted and honored to join the editorial board as an Associate Editor for Sankhya Series B!|
|Jan 20, 2022||Medha Agarwal’s work on on “Globally-centered autocovariances in MCMC” has been accepted for publication in JCGS!|
|Oct 19, 2021||I am honored to be one of the recipients of the Blackwell-Rosenbluth Award given by j-ISBA this year!|
|Oct 3, 2021||Our work on “Lugsail lag windows for estimating time-average covariance matrices” has been accepted in Biometrika! Co-author: James Flegal.|