FASANO, AUGUSTO

FASANO, AUGUSTO  

Dipartimento di Scienze delle Decisioni  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
A class of conjugate priors for multinomial probit models which includes the multivariate normal one 1-gen-2022 Fasano, Augusto; Durante, Daniele JOURNAL OF MACHINE LEARNING RESEARCH -
A closed-form filter for binary time series 1-gen-2021 Fasano, Augusto; Rebaudo, Giovanni; Durante, Daniele; Petrone, Sonia STATISTICS AND COMPUTING -
Advances in Bayesian Inference for Binary and Categorical Data 1-feb-2021 Fasano, Augusto - Università Bocconi
Advances in Bayesian Inference for Binary and Categorical Data 31-gen-2021 Fasano, Augusto - Università Bocconi
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: a review and new results 1-gen-2023 Anceschi, Niccolo'; Fasano, Augusto; Durante, Daniele; Zanella, Giacomo JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION -
Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict 1-gen-2023 Franzolini, Beatrice; Bondi, Laura; Fasano, Augusto; Rebaudo, Giovanni - Pearson
Contributed discussion to "Giordano, R., Liu, R., Jordan, M.I., Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion). Bayesian Analysis. 2023;18(1):287" 1-gen-2023 Rebaudo, Giovanni; Fasano, Augusto; Franzolini, Beatrice; Müller, Peter BAYESIAN ANALYSIS -
Efficient computation of predictive probabilities in probit models via expectation propagation 1-gen-2023 Fasano, Augusto; Anceschi, Niccolo; Franzolini, Beatrice; Rebaudo, Giovanni - Pearson
Efficient expectation propagation for posterior approximation in high-dimensional probit models 1-gen-2023 Fasano, Augusto; Anceschi, Niccolo; Franzolini, Beatrice; Rebaudo, Giovanni - Pearson
Scalable and accurate variational Bayes for high-dimensional binary regression models 1-gen-2022 Fasano, Augusto; Durante, Daniele; Zanella, Giacomo BIOMETRIKA -