17 citations · 42 across the 4 of their papers we have counts for
4 papers
Stationary subspace analysis based on second-order statistics
Lea Flumian, Markus Matilainen, Klaus Nordhausen +1
In stationary subspace analysis (SSA) one assumes that the observable p-variate time series is a linear mixture of a k-variate nonstationary time series and a (p-k)-variate station…
Extracting conditionally heteroscedastic components using ICA
Jari Miettinen, Markus Matilainen, Klaus Nordhausen +1
In the independent component model, the multivariate data is assumed to be a mixture of mutually independent latent components, and in independent component analysis (ICA) the aim…
Sliced Average Variance Estimation for Multivariate Time Series
Markus Matilainen, Christophe Croux, Klaus Nordhausen +1
Supervised dimension reduction for time series is challenging as there may be temporal dependence between the response and the predictors . Recently a time serie…
On the number of signals in multivariate time series
Markus Matilainen, Klaus Nordhausen, Joni Virta
We assume a second-order source separation model where the observed multivariate time series is a linear mixture of latent, temporally uncorrelated time series with some components…