2 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.ME2022★ 2 cited
Order Determination for Tensor-valued Observations Using Data Augmentation
Una Radojicic, Niko Lietzen, Klaus Nordhausen +1
Tensor-valued data benefits greatly from dimension reduction as the reduction in size is exponential in the number of modes. To achieve maximal reduction without loss in informatio…
math.ST2022
Robust signal dimension estimation via SURE
Joni Virta, Niko Lietzen, Henri Nyberg
The estimation of signal dimension under heavy-tailed latent factor models is studied. As a primary contribution, robust extensions of an earlier estimator based on Gaussian Stein'…
math.ST2020
Modeling temporally uncorrelated components for complex-valued stationary processes
Niko Lietzén, Lauri Viitasaari, Pauliina Ilmonen
We consider a complex-valued linear mixture model, under discrete weakly stationary processes. We recover latent components of interest, which have undergone a linear mixing. We st…