Number of items: 6.
Catalano, Marta, Lijoi, Antonio, Prünster, Igor and Rigon, Tommaso
(2023)
Bayesian modeling via discrete nonparametric priors.
Japanese Journal of Statistics and Data Science, 6
(2).
pp. 607-624.
doi:10.1007/s42081-023-00210-5
ISSN 2520-8764.
Catalano, Marta, Blasi, Pierpaolo De, Lijoi, Antonio and Prünster, Igor
(2022)
Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures.
Journal of Machine Learning Research, 23
(80).
pp. 1-23.
ISSN 1532-4435.
Catalano, Marta, Lijoi, Antonio and Pruenster, Igor
(2021)
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models.
Annals of statistics, 49
(5).
pp. 2916-2947.
doi:10.1214/21-AOS2065
ISSN 0090-5364.
Catalano, Marta, Lijoi, Antonio and Prünster, Igor
(2021)
Transport distances on random vectors of measures : recent advances in Bayesian nonparametrics.
In: Hernández‐Hernández, Daniel and Leonardi, Florencia and Mena, Ramsés H. and Pardo Millán, Juan Carlos, (eds.)
Advances in Probability and Mathematical Statistics.
Progress in Probability, 79
.
Springer, pp. 59-70.
ISBN 9783030853242
Catalano, Marta, Lijoi, Antonio and Prünster, Igor
(2020)
Approximation of Bayesian models for time-to-event data.
Electronic Journal of Statistics, 14
(2).
3366 -3395.
doi:10.1214/20-EJS1746
ISSN 1935-7524.
Catalano, Marta, Lijoi, Antonio and Prünster, Igor
(2019)
Bayesian model comparison based on Wasserstein distances.
In: Arbia, Giuseppe and Peluso, Stefano and Pini, Alessia and Rivellini, Giulia, (eds.)
Book of Short Papers of the Italian Statistical Society 2019.
Pearson, pp. 167-172.
ISBN 9788891915108
This list was generated on Wed Apr 24 02:44:39 2024 BST.