Speaker: Xin Gao, York University

Title: High Dimensional Data Integration

Abstract:   Data integration is the process of extracting information from multiple sources and analyzing different related data sets. Aggregating different data sources can boost the statistic power for the joint inference and enhance the model prediction performance.  In this talk, we will  focus on the development and implementation of both frequentist and Bayesian statistical methods for data integration. We establish the estimation and model selection consistency of our proposed data integration methods. We also illustrate the use of the proposed methods on several high dimensional data sets.

Date/Time: Tuesday March 7, 2023, 3:30 - 5:00 

Location: MDCL 1115