3 papers
stat.ME2026
Random mixtures in Bayes Hilbert spaces
Giulia Patanè, Sonja Greven, Alessandra Menafoglio
We present a framework for the analysis and unmixing of random density mixtures in the Bayes Hilbert space. General identifiability results for mixtures in Hilbert spaces are estab…
stat.ME2026
Dimension reduction of multivariate densities in Bayes spaces
Adéla Czolková, Karel Hron, Sonja Greven
The Bayes space provides a Hilbert space structure for analysing probability density functions (PDFs), equipping them with a geometry that reflects their relative and constrained n…
stat.ME2024
Approximation of bivariate densities with compositional splines
Stanislav Škorňa, Jitka Machalová, Jana Burkotová +2
Reliable estimation and approximation of probability density functions is fundamental for their further processing. However, their specific properties, i.e. scale invariance and re…