CAPPOZZO, ANDREA
CAPPOZZO, ANDREA
Dipartimento di Economia, Management e Metodi Quantitativi
Variational inference for semiparametric Bayesian novelty detection in large datasets
2023 L. Benedetti, E. Boniardi, L. Chiani, J. Ghirri, M. Mastropietro, A. Cappozzo, F. Denti
Graphical and computational tools to guide parameter choice for the cluster weighted robust model
2023 A. Cappozzo, L.A. García-Escudero, F. Greselin, A. Mayo-Iscar
Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
2023 A. Casa, A. Cappozzo, M. Fop
Monitoring Tools in Robust CWM for the Analysis of Crime Data
2023 A. Cappozzo, L. Garcia-Escudero, F. Greselin, A. Mayo-Iscar
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
2023 A. Cappozzo, F. Ieva, G. Fiorito
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
2022 A. Casa, A. Cappozzo, M. Fop
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
2022 A. Cappozzo, C. Mccrory, O. Robinson, A. Freni Sterrantino, C. Sacerdote, V. Krogh, S. Panico, R. Tumino, L. Iacoviello, F. Ricceri, S. Sieri, P. Chiodini, G.J. Mckay, A.J. Mcknight, F. Kee, I.S. Young, B. Mcguinness, E.M. Crimmins, T.E. Arpawong, R.A. Kenny, A. O’Halloran, S. Polidoro, G. Solinas, P. Vineis, F. Ieva, G. Fiorito
Mixed-effects high-dimensional multivariate regression via group-lasso regularization = Regressione multivariata con effetti misti per dati ad alta dimensionalit`a: un approccio con regolarizzazione di tipo group-lasso
2022 F. Ieva, A. Cappozzo, G. Fiorito
Group-wise penalized estimation schemes in model-based clustering = Strategie di stima penalizzata a livello di gruppo nel clustering basato su modello
2022 A. Casa, A. Cappozzo, M. Fop
Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
2021 A. Cappozzo, L. Angel Garcìa Escudero, F. Greselin, A. Mayo-Iscar
Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food
2021 A. Cappozzo, L. Duponchel, F. Greselin, T.B. Murphy
Robust variable selection for model-based learning in presence of adulteration
2021 A. Cappozzo, F. Greselin, T.B. Murphy
A two-stage Bayesian semiparametric model for novelty detection with robust prior information
2021 F. Denti, A. Cappozzo, F. Greselin
Model-based clustering with sparse matrix mixture models
2021 A. Cappozzo, A. Casa, M. Fop
Robust Model-Based Learning to Discover New Wheat Varieties and Discriminate Adulterated Kernels in X-Ray Images
2021 A. Cappozzo, F. Greselin, T. Brendan Murphy
Robust classification of spectroscopic data in agri-food: First analysis on the stability of results
2021 A. Cappozzo, L. Duponchel, F. Greselin, B. Murphy
Outlier and novelty detection for Functional data: a semiparametric Bayesian approach
2021 F. Denti, A. Cappozzo, F. Greselin
Exploring solutions via monitoring for cluster weighted robust models
2021 A. Cappozzo, F. Greselin, L. Angel Garcìa Escudero, A. Mayo-Iscar
Monitoring tools for robust estimation of cluster weighted models = Strumenti di monitoring per la stima robusta del modello Cluster Weighted
2021 A. Cappozzo, F. Greselin
Penalized model-based clustering for three-way data structures = Clustering penalizzato basato sul modello per dati con struttura tridimensionale
2021 A. Cappozzo, A. Casa, M. Fop