I am a PhD student in Statistics at the Warwick Centre for Doctoral Training in Mathematics and StatisticsLink opens in a new window. My primary research interests include topics in probability and stochastic processes with the current focus on stability and convergence of Markov chain Monte Carlo algorithms.

Please find more information on my personal websiteLink opens in a new window.

Paper(s) / Preprint(s)

1. Agrawal, S., Bierkens, J., & Roberts, G. (2024). Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference. arXiv preprint arXiv:2411.14983
2. Agrawal, S., Vats, D., Łatuszyński, K., & Roberts, G. (2023). Optimal scaling of MCMC beyond Metropolis. Advances in Applied Probability, 55(2), 492-509. doi:10.1017/apr.2022.37

Contact:

Office: MB0.09, Mathematical Sciences Building

Email: Sanket [dot] Agrawal [at] warwick [dot] ac [dot] uk