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Group by: Official Date | Item Type | Funder | No Grouping
Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 5.

2022

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. [ 🗎 Public]. [ (🔓): Yes ].

2021

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. [ (✓) hoa:9009 ]

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

2020

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. [ (🔓): Yes ].

2019

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 Feb 1 00:16:11 2023 GMT.
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