CoDa-webinar: Bayes spaces methodology


Dear members of the CoDa Association,

with the aim to advertize the Bayes spaces methodology in a wider statistical community (and beyond, of course!), we would like to invite you to webinar called „An Introduction to Functional Data Analysis for Density Functions in Bayes spaces“,,

hold under the ISI-ERS label on April 29-30, 2021, both days from 14:00-17:00 GMT+2. The webinar is free of charge and you can register using the link below:

If you would know about anybody else, interested in the topic, please forward them this invitation.

We’re looking forward to meeting you in the virtual space!

Alessandra Menafoglio, Karel Hron and Jitka Machalova




The analysis of distributional data (probability density functions or histogram data) has recently gained increasing attention in the applications. Distributional data are often observed by themselves, or as result of aggregation of large streams of data. The course will provide an introduction to the analysis of these data using a Functional Data Analysis (FDA) approach, grounded on the perspective of Bayes spaces. These spaces are mathematical spaces whose points are densities (or, more generally, measures), which generalize to the FDA setting the Aitchison simplex for multivariate compositional data. The course will give an overview of the theory of Bayes spaces, as well as of statistical methods developed in this setting. All the methods will be illustrated through examples from real case studies.