The Statistics department is excited to announce Professor Naomi Altman, from Penn State department of Statistics and Bioinformatics and Genomics program will be speaking October 29th, 2018. The seminar includes refreshments and is free and open to the public.

Abstract: Principal Component Analysis (PCA) is an essential tool for data scientists used both as an analysis tool in its own right and as a component of more complex analysis pipelines.  PCA is often introduced as a decomposition of the variance matrix.  In this talk, I argue that a regression approach is a more informative formulation that leads to deeper understanding of both the good properties of the method for data summary and analysis and of appropriate generalizations.