Poster session

Juniors of the Department

• Agnoletto Davide: Mortality curves estimation using BNP (joint work with T.Rigon and B.Scarpa)
• Alfonzetti Giuseppe: A stochastic optimization algorithm for pairwise likelihood estimation of factor models with ordinal data (joint work with R.Bellio, Y.Chen, and I.Moustaki)
• Andreella Angela: Procrustes analysis for high-dimensional data (joint work with L.Finos)
• 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 (joint work with M.Chiogna, V.Djordjilovic, and D.Risso)
• Belloni Pietro: Not only pharmacovigilance data: the use of biochemical features in drug adverse events prediction (joint work with N.Tatonetti and G.Boccuzzo)
• 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 (joint work with M.Bernardi)
• Collarin Claudia: Automatic effect selection for generalized additive models (joint work with M.Fasiolo and C.Agostinelli)
• Corsini Noemi: Dealing with overdispersion in multivariate count data (joint work with C.Viroli)
• D’Angelo Laura: Clustering activation patterns of spatially-referenced neurons 
• Depaoli Emanuele Giovanni: Functional concurrent regression with compositional covariates to study the time-varying effect of causes of death on human longevity (joint work with M.Stefanucci and S.Mazzuco)
• De Santis Riccardo: Inference in generalized linear models with robustness to misspecified variances (joint work with J.J.Goeman, J. Homerik and L.Finos)
• Evkaya Ozan: Clustering mortality data with nonparametric Bayesian approach
• Huang Caizhu: Higher-order likelihood solutions for hypotheses testing in moderate to high dimensional multivariate normal models (joint work with N.Sartori)
• Mascaretti Andrea: Nonparametric mixture of envelope models 
• Montin Anna: Locating γ-Ray Sources on the Celestial Sphere via Modal Clustering (joint work with A.R.Brazzale and G.Menardi)
• Nguyen Ngoc Dung: Model selection for colored graphical models for paired data
• Pozza Francesco: Accurate skewed asymptotic approximations of posterior distributions
• Savio Andrea: Renewable energy transition in Europe: a multi-national analysis
• Schiavon Lorenzo: Fast structured matrix factorization (joint work with A.Canale and B.Nipoti)
• Silan Margherita:Identification of neighbourhood clusters on data balanced by a poset-based approach (joint work with P.Belloni e G.Boccuzzo)
• Sottosanti Andrea: Co-clustering of spatially resolved transcriptomic data (joint work with D.Risso)
• Stival Mattia: Doubly-online changepoint detection for monitoring health status during sports activities (joint work with M.Bernardi and P.Dellaportas)
• Stolf Federica: A hierarchical Bayesian non-asymptotic extreme value model for spatial data
• Vesely Anna: Valid p-hacking via flipscores test (joint work with P.Girardi, D.Lakens, and L.Finos)
• Zago Daniele: Profile monitoring based on adaptive parameter learning (joint work with G.Capizzi)

Contributed session