TBA
Speaker | Affiliation | Title | Coauthors | |
---|---|---|---|---|
09:15 - 09:30 | Francesco C. Stingo | |||
09:30 - 10:00 | Guido Consonni | Unicatt | Bayesian sample size determination for causal discovery | F. Castelletti |
10.00 - 10:30 | Veronica Vinciotti | UniPD | Causal glms within a structural equation modelling framework | |
10:30 - 11:00 | Antonino Abbruzzo | UniPA | MCMC sampling for Bayesian Gaussian structural learning | N. Argentino, R. Mohammadi, M. De Iorio, W. van den Boom, A. Beskos |
11:00 - 11:30 | COFFEE BREAK | |||
11:30 - 12:00 | Monia Lupparelli | UniFI | Path-dependent parametric decompositions in Ising models | G.M Marchetti |
12:00 - 12:30 | Federico Castelletti | Unicatt | ||
12:30 - 14:30 | LUNCH/Poster | |||
13:30 - 14:30 | Poster Session | |||
14:30 - 14:50 | Gianluca Sottile | UniPA | Sparse inference of the multiple conditional Gaussian graphical model from heterogeneous and partially observed data | L. Augugliaro, V. Vinciotti |
14:50 - 15:10 | Saverio Ranciati | UniPD | Learning Gaussian Graphical Models for Paired Data with the pdglasso | A. Roverato |
15:10 - 15:30 | Claudio Busatto | UniFI | Multiple graphical models with horseshoe | F.C. Stingo |
15:30 - 16:00 | COFFEE BREAK | |||
16:00 - 18:00 | ROUND TABLES |
The Department of Statistical Sciences is located in Via Cesare Battisti, 241 in Padua, and it is housed in the seventeenth-century Complex of Santa Caterina.
Right outside the airport, you can catch a bus that will take you to the train and bus station of Padua in Piazzale Stazione.
Santa Caterina Campus is within walking distance from the train and bus station of Padua. Alternatively, you can use the public transport; from the train station, you might want to take Tram line towards Capolinea Sud. Get off at the stop Riviera Ponti Romani, cross the street, take Via Cesare Battisti and continue until you see the numbers 241/243 (on your left).
We recommend taking the exit Padova Ovest, parking at the P1 (ex-Canova) car park located in Via Sarpi, and taking the tram from the train station. For other possibilities, please visit the car parking information page of the City of Padua.