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SDS Seminar Series - Babak Shahbaba
Friday, October 16, 2015, 01:00pm - 02:00pm
Contact Sasha Schellenberg

Babak Shahbaba
(University of California, Irvive, Department of Statistics)

Title: "Scalable Monte Carlo Methods"

Abstract: In recent years, there have been ever-increasing demands for data-intensive scientific research. Routine use of digital sensors, high throughput experiments, and intensive computer simulations have created a data deluge imposing new challenges on scientific communities that attempt to process and analyze such data. This is especially challenging for scientific studies that involve Bayesian methods, which typically require computationally intensive Monte Carlo algorithms for their implementation. In this talk, I will discuss some new scalable Monte Carlo methods that address computational challenges in Bayesian analysis. 

Location: CLA 1.104