Dootika Vats
Scholar

Dootika Vats

Google Scholar ID: sZT_wEAAAAAJ
Associate Professor, Indian Institute of Technology Kanpur
Markov Chain Monte CarloMonte Carlo MethodsStochastic ProcessesBayesian Statistics
Citations & Impact
All-time
Citations
931
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
30
list available
Resume (English only)
Academic Achievements
  • Serves as an Associate Editor for Bayesian Analysis, Journal of Computational and Graphical Statistics, Journal of Statistical Planning and Inference, and Sankhya B. Her student Arka Banerjee's work on 'Efficient Multivariate Initial Sequence Estimators for MCMC' has been accepted for publication in the Journal of Computational and Graphical Statistics. Rahul Singh and Abhinek Shukla's work on 'On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent' has been accepted for publication in the Journal of Machine Learning Research! Arghya Mukherjee (PhD)’s first paper on 'Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data' is now on arxiv! Delighted and honored to be receiving the Excellence-in-Teaching Award 2025 at IIT Kanpur!
Research Experience
  • Currently an Associate Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology, Kanpur. Previously, an NSF Postdoctoral fellow with Prof. Gareth Roberts at the University of Warwick.
Education
  • PhD: University of Minnesota, Twin-Cities, advisor: Prof. Galin Jones; Postdoc: University of Warwick, advisor: Prof. Gareth Roberts.
Background
  • Research interests: Markov chain Monte Carlo, output analysis for stochastic simulation. Recently, also interested in stochastic optimization algorithms. Currently, an Associate Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology, Kanpur.
Miscellany
  • Best way to reach her is via email.