Statistical methods and models for complex data |
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Statistical methods and models for complex data |
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The event will take place at the Department of Statistical Science, via Cesare Battisti 241/243, Padova.
Only the last session of Friday 23rd of September will take place at Bo’ Palace, via VIII Febbraio, 2, Padova.
The streaming online of the conference is available on the Youtube channel of the Department
https://www.youtube.com/channel/UCz6yxTEWTQvbjm930CEkJcw
Department of Statistical Sciences at Santa Caterina
Room SC140
Giovanna Boccuzzo
Head of the Department of Statistical Sciences
Corrado Crocetta
President of the Italian Statistical Society (SIS)
Laura Maria Sangalli 
Politecnico di Milano
Physics-informed spatial and functional data analysis over non-Euclidean domains
Discussed by Antonio Calcagnì
and Ilaria Prosdocimi
10:45 Coffee break
11:15
Bianca Maria Colosimo
Politecnico di Milano
Big data mining for industry 4.0: the new pathway for the digital and green ‘twin’ transition
Discussed by Antonio Canale and Antonio Lepore
13:00 Lunch
14:00
Alessandro Vespignani
Northeastern University
COVID-19: data, modeling, and communication
Discussed by Paolo Girardi and Alessia Melegaro
15:15
Emmanuel Candès
Stanford University
Conformal inference in 2022
Discussed by Davide Risso and Aldo Solari
16:30 Coffee break
This lecture, in memory of Bernardo Colombo founder of the Faculty and the Department of Statistical Sciences at the University of Padua, indicates the talk of the youngest speaker of the conference.
17:00
Daniele Durante
Università Luigi Bocconi
The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics
Discussed by Adelchi Azzalini and Brunero Liseo
Department of Statistical Sciences at Santa Caterina – Courtyard
18:15
Cocktail/Aperitif
Poster session (junior members of the Department of Statistical Sciences of the University of Padova)
19:00
Concert
Bottega Tartiniana Quartet
(Anna Colombo, violin; Cecilia Allegri, violin; Giovanna Gordini, viola; Giacomo Grespan, cello)
Schubert: String quartet no. 1, D 18 in mixed keys
Tartini: Symphony in D major
Vivaldi: Concerto for strings in A major
19:45
Light dinner buffet
Poster session
Department of Statistical Sciences at Santa Caterina
Room SC140
9:00
Giovanni Parmigiani
Harvard University
Replicability of predictions across studies: challenges and opportunities.
Discussed by Marco Alfò and Gianmarco Altoè
10:15 Coffee break
10:45
Irène Gijbels
Katholieke Universiteit Leuven
Dependencies in higher dimensions and in complex data structures
Discussed by Fabrizio Durante and Paolo Vidoni
12:00
Judith Rousseau
University of Oxford
Bayesian nonparametric density estimation for data living close to an unknown manifold
Discussed by Sonia Petrone and Laura Ventura
13:15 Lunch
14:30
Xiao-Li Meng
Harvard University
Multi-resolution theory for approximating infinite-p-zero-n: transitional inference, individualized predictions, and a world without bias-variance tradeoff
Discussed by Ruggero Bellio and Cristiano Varin
15:45
Annette Baudisch
University of Southern Denmark
Towards a transdisciplinary framework to analyze birth and death patterns
Discussed by Stefano Mazzuco and Cinzia Mortarino
17:00 Coffee break
Contributed Session
(senior members of the Department of Statistical Sciences of the University of Padova)
Chair: L. Grossi
17:20 – 19:00
Giovanna Boccuzzo
Measuring frailty in the population: a challenge fraught with complexity
Alessandra Rosalba Brazzale
Unsupervised disentangling of a signal from background for new physics discoveries
Massimiliano Caporin
Estimating assets interdependencies by restricted VAR models: estimation, structural representation and financial network interpretation
Giuliana Cortese
Efficient Estimation and Regression for the Marginal Mean of Recurrent Events
Gianpiero Dalla Zuanna
Work, couples, and fertility in Italy: back to Malthus?
Tommaso Di Fonzo
Point and probabilistic forecast reconciliation for general linearly constrained multiple time series
Maria Letizia Tanturri
Time allocation and well-being in later life
Department of Statistical Sciences at Santa Caterina
Room SC140
9:00
Emily Grundy
University of Essex
Intergenerational influences on health
Discussed by Stefano Campostrini and Daniele Vignoli
10:15 Coffee break
10:45
Sylvia Frühwirth-Schnatter
Wirtschaftsuniversität Wien
150 years of finite mixture analysis – how statisticians reveal hidden structures in complex data
Discussed by Roberto Casarin and Luca Tardella
12:00
Christian P. Robert
Université Paris-Dauphine
Inferring the number of components in a mixture: dream or reality?
Discussed by Emanuele Aliverti and Tommaso Rigon
13:15 Lunch
Bo’ Palace – Aula Magna
14:30
Art Owen
Stanford University
Complexity of crossed random effects
Discussed by Alessandra Salvan and Nicola Sartori
15:45
Rob J. Hyndman
Monash University
Visualization of complex seasonal patterns in time series
Discussed by Luisa Bisaglia and Matteo Pelagatti
17:00 Coffee break
Giovanna Boccuzzo, Head of the Department of Statistical Sciences
Massimiliano Zattin, Vice Rector for Postgraduate and Doctorate Programmes
Agnoletto Davide: Mortality curves estimation using BNP
Alfonzetti Giuseppe: A stochastic optimization algorithm for pairwise likelihood estimation of factor models with ordinal data
Andreella Angela: Procrustes analysis for high-dimensional data
Arnone Eleonora: Regularized semiparametric models on planar linear networks.
Banzato Erika: A Bartlett-type correction for likelihood ratio tests with application to testing equality of Gaussian graphical models
Belloni Pietro: Not only pharmacovigilance data: the use of biochemical features in drug adverse events prediction
Bianco Nicolas: Approximate Bayesian inference for dynamic sparsity in time-varying parameter model
Bortolato Elena: Convergence of MCMC algorithms on manifolds through coupling techniques
Castiglione Cristian: Approximate belief updating via semiparametric variational Bayes
Collarin Claudia: Automatic effect selection for generalized additive models
Corsini Noemi: Dealing with overdispersion in multivariate count data
D’Angelo Laura: Clustering activation patterns of spatially-referenced neurons
De Santis Riccardo: Inference in generalized linear models with robustness to misspecified variances
Evkaya Ozan: Clustering mortality data with nonparametric Bayesian approach
Mascaretti Andrea: Nonparametric mixture of envelope models
Montin Anna: Locating γ-Ray Sources on the Celestial Sphere via Modal Clustering
Nguyen Ngoc Dung: Model selection for colored graphical models for paired data
Pozza Francesco: Accurate skewed asymptotic approximations of posterior distributions
Schiavon Lorenzo: Fast structured matrix factorization
Silan Margherita: Identification of neighbourhood clusters on data balanced by a poset-based approach
Sottosanti Andrea: Co-clustering of spatially resolved transcriptomic data
Stival Mattia: Doubly-online changepoint detection for monitoring health status during sports activities
Stolf Federica: A hierarchical Bayesian non-asymptotic extreme value model for spatial data
Vesely Anna: Valid p-hacking via flipscores test
Zago Daniele: Profile monitoring based on adaptive parameter learning
Statistical methods and models for complex data | Department of Statistical Sciences | Fund by MIUR Project Department of Excellence 2018-2022 