Mean Independent Component Analysis for Multivariate Time Series

In this article, we introduce the mean independent component analysis for multivariate time series to reduce the parameter space.In particular, we seek for a contemporaneous linear transformation that detects univariate mean independent components so that each component can be modeled separately.The mean independent component analysis is flexible in the sense that no parametric model or distributional assumptions are made.We propose a unified framework to estimate the mean independent components