Statistics from Public and Private Policy Perspectives: Challenges, Opportunities and Rewards
The speaker is the Director of the U.S. Census Bureau. He plans to draw on his experiences as a career civil servant, an executive at a social science research organization, and as a presidential appointee.
Title: Sparse Canonical Correlation Analysis
Abstract: Canonical correlation analysis (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets of variables. In this talk we consider the problem of estimating the leading canonical correlation directions in high dimensional settings. Recently, under the assumption that the leading canonical correlation directions are sparse, various procedures have been proposed for many high dimensional applications involving massive data sets. However, there has been few theoretical justification available in the... Read more about CMSA Talk: Zongming Ma