1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Efficient spline orthogonal basis for representation of density functions
Jana Burkotová, Ivana Pavlů, Hiba Nassar +2
Probability density functions form a specific class of functional data objects with intrinsic properties of scale invariance and relative scale characterized by the unit integral c…
Preprocessing of centred logratio transformed density functions using smoothing splines
Jitka Machalova, Karel Hron, Gianna Serafina Monti
With large-scale database systems, statistical analysis of data, formed by probability distributions, become an important task in explorative data analysis. Nevertheless, due to sp…