Stefano Peluso

Available identifiers

Publication	Date of Publication	Type
Objective methods for graphical structural learning	2023-12-14	Paper
Network Structure Learning Under Uncertain Interventions	2023-10-18	Paper
A Bayesian semiparametric vector multiplicative error model	2021-11-09	Paper
Equivalence class selection of categorical graphical models	2021-11-09	Paper
The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes.	2021-07-15	Paper
Compatible priors for model selection of high-dimensional Gaussian DAGs	2020-12-15	Paper
A Bayesian spatiotemporal statistical analysis of out‐of‐hospital cardiac arrests	2020-09-16	Paper
Reinforced urns and the subdistribution beta‐Stacy process prior for competing risks analysis	2019-11-07	Paper
Semiparametric multivariate and multiple change-point modeling	2019-08-07	Paper
Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach	2018-12-06	Paper
Learning vs earning trade-off with missing or censored observations: the two-armed Bayesian nonparametric beta-Stacy bandit problem	2017-10-12	Paper
Objective Bayes Covariate‐Adjusted Sparse Graphical Model Selection	2017-09-12	Paper
Robust identification of highly persistent interest rate regimes	2017-03-29	Paper
Introduction to ``On the use of Markov chain Monte Carlo methods for the sampling of mixture models by R. Douc, F. Maire, J. Olsson	2016-02-22	Paper
Contributed discussion on article by Finegold and Drton	2015-12-21	Paper
Reinforced urn processes for credit risk models	2014-11-24	Paper

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