Inverse problem for multivariate time series using dynamical latent variables

► We generalize factor analysis by including time correlations of latent variables. ► We adopt an efficient algorithm for the inversion of block-tridiagonal matrices. ► Our modelling allows one to make predictions of the future values of time series. ► We apply our method on gene expression data from cell culture HeLa.