Dear all, we are glad to announce the following hybrid seminar

*March 12, 2024,  12:15 PM*

*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino, 155 Mestre (Venice, Italy)

Zoom: https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09

*Speaker*: Alessandra Menafoglio, Politecnico di Milano (Milano, Italy)

*Title*: The Bayes space approach to functional data analysis for probability density functions

*Abstract:*

In the presence of increasingly massive and heterogeneous data, the statistical modeling of distributional observations plays a key role. Choosing the ‘right’ embedding space for these data is of paramount importance for their statistical processing, to account for their nature and inherent constraints. The Bayes space theory is a natural embedding space for (spatial) distributional data, and was successfully applied in varied settings. In this presentation, I will discuss the state-of-the-art methods for the modelling, analysis, and prediction of distributional data, with a particular attention to cases when their spatial dependence cannot be neglected. I will embrace the viewpoint of object-oriented spatial statistics (O2S2), a system of ideas for the analysis of complex data with spatial dependence. All the theoretical developments will be illustrated through their application on real data, highlighting the intrinsic challenges of a statistical analysis which follows the Bayes  spaces approach.

Best regards,

Carlo Gaetan