Bayesian nonparametric inference beyond the Gibbs‐type framework-Reference-Cited by-同舟云学术

Bayesian nonparametric inference beyond the Gibbs‐type framework

Published:2018-05-21 Issue:4 Volume:45 Page:1062-1091
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scand J Statist

Author:

Camerlenghi Federico¹²³,Lijoi Antonio⁴³,Prünster Igor⁴^ORCID

Affiliation:

1. Department of Economics, Management and Statistics University of Milano‐Bicocca Milano Italy

2. Bocconi Institute for Data Science and Analytics (BIDSA) Bocconi University Milano Italy

3. Collegio Carlo Alberto Piazza Vincenzo Arbarello 8, Torino, 10122 Italy

4. Department of Decision Sciences, Bocconi Institute for Data Science and Analytics (BIDSA)/Innocenzo Gasparini Institute for Economic Research (IGIER) Bocconi University Milano Italy

Funder

European Research Council (ERC), StG “N-BNP”

MIUR, PRIN Project

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12334

Reference40 articles.

1. Generalized Species Sampling Priors With Latent Beta Reinforcements

2. Conditionally identically distributed species sampling sequences

3. Random Fragmentation and Coagulation Processes

4. Distribution theory for hierarchical processes;Camerlenghi F.;Annals of Statistics,2018

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