Date: February 8th, 2017, 1 pm - 2 pm
Place: B705

Abstract

In this presentation, we describe some basic properties of Common Principal Component Analysis (CPCA) originally proposed by Flury (1984). We discuss the difference between the maximum likelihood estimator and a simplified estimator proposed by Krzanowski (1984). Some applications of CPCA are discussed and an empirical case study of Swedish municipality-level data is presented where we compare the two estimators.