Bayesian reduced rank multigroup regression analysis: a new model for multigroup data with hybrid parameter sharing

Abstract

In this paper, we develop a new multiple regression analysis method for multigroup data. The model enforces some rank conditions on the matrix with regression coefficient vectors, and thus enables a parsimonious representation of group characteristics. The technique used can be considered as a hybrid approach to soft and hard parameter sharing in multi-task learning.