New independent component analysis tools for time series

作者:Matilainen Markus*; Nordhausen Klaus; Oja Hannu
来源:Statistics & Probability Letters, 2015, 105: 80-87.
DOI:10.1016/j.spl.2015.04.033

摘要

Independent component analysis is a popular approach in search of latent variables and structures in high-dimensional data. We propose extensions of classical FOBI and JADE estimates for multivariate time series, with a special focus on time series with stochastic volatility.

  • 出版日期2015-10