Workshop Latent variable models and dimensionality reduction methods for complex data

Link Teams: https://teams.microsoft.com/meet/34416091721268?p=iVxkAZhR88TWKRX2it

This workshop will focus on recent methodological advances in latent variable models and dimensionality reduction techniques for the analysis of complex and high-dimensional data. Key topics include variable selection in high-dimensional settings, clustering methods, modelling of mixed data, item response models, and joint modelling of complex longitudinal and multivariate data. The event will include a plenary talk by Geert Verbeke entitled “Joint models for high-dimensional longitudinal data”.

The workshop brings together leading international and national experts and is organized within a funded PRIN 2022 project, fostering collaboration among several research units from the Universities of Bologna, Firenze, Napoli, Roma “La Sapienza”, Padova, and Udine.

Organizers
Cinzia Viroli (chair)
Silvia Bianconcini
Silvia Cagnone
Matteo Farnè
Christian Martin Henning
Mariagiulia Matteucci

Participation is free upon registration. Please note that in-person attendance is limited. To register and to request further information about the programme, send an email to Mariagiulia Matteucci m.matteucci@unibo.it, by 28 January indicating whether you plan to attend in person or online.