Full Professor
Department of Decision Sciences
Courses a.y. 2023/2024
40025 BAYESIAN STATISTICAL THEORY I
40972 PROBABILITY THEORY II
41054 SPECIAL TOPICS IN STATISTICS 1
41059 SPECIAL TOPICS IN STATISTICS 2
Biographical note
I am a Professor of Statistics and Director of the PhD program in Statistics and Computer Science.
I have previously been at the University of Pavia as Assistant (1999-2005), Associate Professor (2006-2011) of Statistics and Professor of Probability and Mathematical Statistics (2011-2016).
I am Fellow of the Institute of Mathematics Statistics and of the International Society of Bayesian Analysis. I am also Fellow of the Bocconi Institute for Data Science and Analytics.
I have gained the PhD in Statistics at the University of Trento and the University Degree in Economic and Social Disciplines (DES) at the Bocconi University.
Selected Publications
Franzolini, Beatrice; Lijoi, Antonio; Pruenster, Igor
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes
THE ANNALS OF APPLIED STATISTICS, 2023
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes
THE ANNALS OF APPLIED STATISTICS, 2023
Ascolani, Filippo; Lijoi, Antonio; Rebaudo, Giovanni; Zanella, Giacomo
Clustering consistency with Dirichlet process mixtures
BIOMETRIKA, 2023
Clustering consistency with Dirichlet process mixtures
BIOMETRIKA, 2023
Catalano, Marta; Lijoi, Antonio; Pruenster, Igor
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models
ANNALS OF STATISTICS, 2021
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models
ANNALS OF STATISTICS, 2021
Federico Camerlenghi; Antonio Lijoi; Igor Pruenster
Survival analysis via hierarchically dependent mixture hazards
ANNALS OF STATISTICS, 2021
Survival analysis via hierarchically dependent mixture hazards
ANNALS OF STATISTICS, 2021
Antonio Lijoi; Igor Pruenster; Tommaso Rigon
The Pitman-Yor multinomial process for mixture modelling
BIOMETRIKA, 2020
The Pitman-Yor multinomial process for mixture modelling
BIOMETRIKA, 2020
Camerlenghi, Federico; Lijoi, Antonio; Orbanz, Peter; Pruenster, Igor
Distribution theory for hierarchical processes
ANNALS OF STATISTICS, 2019
Distribution theory for hierarchical processes
ANNALS OF STATISTICS, 2019
Federico Camerlenghi; David B. Dunson; Antonio Lijoi; Abel Rodriguez; Igor Pruenster
Latent nested nonparametric priors (with discussion)
BAYESIAN ANALYSIS, 2019
Latent nested nonparametric priors (with discussion)
BAYESIAN ANALYSIS, 2019
Canale Antonio; Lijoi, Antonio; Nipoti, Bernardo; Pruenster, Igor
On the Pitman-Yor process with spike and slab base measure
BIOMETRIKA, 2017
On the Pitman-Yor process with spike and slab base measure
BIOMETRIKA, 2017
De Blasi, Pierpaolo; Favaro, Stefano; Lijoi, Antonio; Mena, Ramsés H.; Pruenster, Igor; Ruggiero, Matteo
Are Gibbs-type priors the most natural generalization of the Dirichlet process?
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015
Are Gibbs-type priors the most natural generalization of the Dirichlet process?
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015