2023-03-03 Stat Cafe - Dr. Rajarshi Guhaniyogi

• Time: Friday 03/03 from 1:00 PM to 2:00 PM
• Location: BLOC 503
• We are getting pizza, please fill out the form by Thursday 2 PM if you are planning to attend.
• Gallery

Topic

Bayesian Regressions with Tensors and Distributed Computation with Space-time Data

Abstract

Of late, neuroscience, environmental science or related applications routinely encounter regression scenarios involving multidimensional array or tensor structured responses or predictors. In the first half of this talk, we will discuss how to perform Bayesian regression with tensor response, the construction of prior distributions on tensor-valued parameters and posterior inference. We will present applications of the proposed methodology in brain activation and brain connectome studies. The second half of this talk will be devoted to the recently emerging literature on divide-and-conquer Bayesian inference in massive spatio-temporal data. We will discuss how to draw distributed Bayesian inference in space-time data with parallel computing architecture, theoretical studies in distributed approaches and applications in large scale environmental datasets.