Citations (22)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (3)
Marta Catalano, Hugo Lavenant, Antonio Lijoi & Igor Prünster. (2023) A Wasserstein Index of Dependence for Random Measures. Journal of the American Statistical Association 0:0, pages 1-11.
Read now
Read now
Bryce G. Westlake & Martin Bouchard. (2016) Criminal Careers in Cyberspace: Examining Website Failure within Child Exploitation Networks. Justice Quarterly 33:7, pages 1154-1181.
Read now
Read now
Weixuan Zhu & Fabrizio Leisen. (2015) A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes. Journal of Nonparametric Statistics 27:1, pages 89-105.
Read now
Read now
Articles from other publishers (19)
Marta Catalano, Claudio Del Sole, Antonio Lijoi & Igor Prünster. (2023) A Unified Approach to Hierarchical Random Measures. Sankhya A.
Crossref
Crossref
F Ascolani, B Franzolini, A Lijoi & I Prünster. (2023) Nonparametric priors with full-range borrowing of information. Biometrika.
Crossref
Crossref
Marta Catalano & Claudio Del Sole. 2023. Bayesian Statistics, New Generations New Approaches. Bayesian Statistics, New Generations New Approaches
77
85
.
John W. Lau & Edward Cripps. (2022) Thinned completely random measures with applications in competing risks models. Bernoulli 28:1.
Crossref
Crossref
Marta Catalano, Antonio Lijoi & Igor Prünster. (2021) Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. The Annals of Statistics 49:5.
Crossref
Crossref
Federico Camerlenghi, Antonio Lijoi & Igor Prünster. (2021) Survival analysis via hierarchically dependent mixture hazards. The Annals of Statistics 49:2.
Crossref
Crossref
Marta Catalano, Antonio Lijoi & Igor Prünster. 2021. Advances in Probability and Mathematical Statistics. Advances in Probability and Mathematical Statistics
59
70
.
Antonio Lijoi, Igor Prünster & Tommaso Rigon. (2020) Sampling hierarchies of discrete random structures. Statistics and Computing 30:6, pages 1591-1607.
Crossref
Crossref
Marta Catalano, Antonio Lijoi & Igor Prünster. (2020) Approximation of Bayesian models for time-to-event data. Electronic Journal of Statistics 14:2.
Crossref
Crossref
Bernardo Nipoti, Alejandro Jara & Michele Guindani. (2018) A Bayesian semiparametric partially PH model for clustered time‐to‐event data. Scandinavian Journal of Statistics 45:4, pages 1016-1035.
Crossref
Crossref
Jim Griffin & Fabrizio Leisen. (2018) Modelling and Computation Using NCoRM Mixtures for Density Regression. Bayesian Analysis 13:3.
Crossref
Crossref
Zacharie Naulet & Éric Barat. (2018) Some Aspects of Symmetric Gamma Process Mixtures. Bayesian Analysis 13:3.
Crossref
Crossref
Alan Riva Palacio & Fabrizio Leisen. (2018) Integrability conditions for compound random measures. Statistics & Probability Letters 135, pages 32-37.
Crossref
Crossref
Alan Riva Palacio & Fabrizio Leisen. (2018) Bayesian nonparametric estimation of survival functions with multiple-samples information. Electronic Journal of Statistics 12:1.
Crossref
Crossref
Abel Rodríguez, Ziwei Wang & Athanasios Kottas. (2017) Assessing systematic risk in the S&P500 index between 2000 and 2011: A Bayesian nonparametric approach. The Annals of Applied Statistics 11:2.
Crossref
Crossref
Sophie Donnet, Vincent Rivoirard, Judith Rousseau & Catia Scricciolo. (2017) Posterior Concentration Rates for Counting Processes with Aalen Multiplicative Intensities. Bayesian Analysis 12:1.
Crossref
Crossref
Jim E. Griffin & Fabrizio Leisen. (2017) Compound Random Measures and their Use in Bayesian Non-Parametrics. Journal of the Royal Statistical Society Series B: Statistical Methodology 79:2, pages 525-545.
Crossref
Crossref
Julyan Arbel & Igor Prünster. 2017. Bayesian Statistics in Action. Bayesian Statistics in Action
11
19
.
Julyan Arbel, Antonio Lijoi & Bernardo Nipoti. (2016) Full Bayesian inference with hazard mixture models. Computational Statistics & Data Analysis 93, pages 359-372.
Crossref
Crossref