3 papers
stat.OT2026
A critical comparison of handling zeros in high-dimensional compositional count data
Wenqi Tang, Kamila Fačevicová, Klaus Nordhausen +1
The growing use of high-throughput sequencing (HTS) has enabled the large-scale production of compositional count data, driving progress in microbiome research. However, such count…
stat.ME2026
Stationary subspace analysis for spatial data
Perttu Saarela, Klaus Nordhausen, Jaakko Pere +1
Stationary subspace analysis (SSA) is a blind source separation framework that decomposes linearly mixed multivariate data into stationary and nonstationary components. We extend S…
stat.ME2024
Consistent Distribution Free Affine Invariant Tests for the Validity of Independent Component Models
Marc Hallin, Simos G. Meintanis, Klaus Nordhausen
We propose a family of tests of the validity of the assumptions underlying independent component analysis methods. The tests are formulated as L2-type procedures based on character…