The estimation of factor scores and Kalman filtering for discrete parameter stationary processes

Abstract

We discuss the analogy between the classical factor analysis model and the ‘ state-space ’ representation of a discrete parameter multivariate linear stochastic system. Using the ‘ regression approach ’ to factor analysis the well-known Kalman—Buey linear filter is derived.