ANTONIO LIJOI

20604 STOCHASTIC PROCESSES
30408 ADVANCED MATHEMATICS AND STATISTICS - MODULE 2 (ADVANCED STATISTICAL METHODS)
40008 TIME SERIES ANALYSIS
40025 BAYESIAN STATISTICAL THEORY I
40972 PROBABILITY THEORY II
40986 OPTIMIZATION METHODS IN STATISTICS
41022 TOPICS IN POPULATION GENETICS

I am a Professor of Statistics.

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.

Federico Camerlenghi; Antonio Lijoi; Igor Pruenster
Survival analysis via hierarchically dependent mixture hazards
ANNALS OF STATISTICS, 2021

Filippo Ascolani; Antonio Lijoi; Matteo Ruggiero
Predictive inference with Fleming-Viot-driven dependent Dirichlet processes
BAYESIAN ANALYSIS, 2021

Catalano, Marta; Lijoi, Antonio; Pruenster, Igor
Approximation of Bayesian models for time-to-event data
ELECTRONIC JOURNAL OF STATISTICS, 2020

Antonio Lijoi; Igor Pruenster; Tommaso Rigon
The Pitman-Yor multinomial process for mixture modelling
BIOMETRIKA, 2020

Federico Camerlenghi; David B. Dunson; Antonio Lijoi; Abel Rodriguez; Igor Pruenster
Latent nested nonparametric priors (with discussion)
BAYESIAN ANALYSIS, 2019

Camerlenghi, Federico; Lijoi, Antonio; Orbanz, Peter; Pruenster, Igor
Distribution theory for hierarchical processes
ANNALS OF STATISTICS, 2019

Canale Antonio; Lijoi, Antonio; Nipoti, Bernardo; Pruenster, Igor
On the Pitman-Yor process with spike and slab base measure
BIOMETRIKA, 2017