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CANCELLED: Computationally Efficient Bootstrap Sampling Using Markov Chains

Tuesday, August 30, 2022 - 11:00 to 11:30
Giorgio (Gio) Sgarbi, UBC Statistics MSc Student
ESB 4192 / Zoom

To Join Via Zoom: To join this seminar virtually, please request Zoom connection details from headsec [at]

Abstract: The bootstrap is a popular tool in modern statistics; however, it relies on sub-optimal IID Monte Carlo for approximating the resampling distribution. In this presentation, I will show that perhaps surprisingly, a simple MCMC algorithm can outperform IID sampling in this context. We aim to keep the same valuable features in the original method while hoping to improve sampling efficiency.


Dear STAT news subscribers:

Please be advised that this seminar has been cancelled. We will reschedule the seminar in the near future. We sincerely apologize for any inconvenience.

Best wishes,

UBC Statistics Department