Compound random measures and their use in Bayesian non-parametrics-Reference-Cited by-同舟云学术

Compound random measures and their use in Bayesian non-parametrics

Published:2016-04-14 Issue:2 Volume:79 Page:525-545
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J. R. Stat. Soc. B

Author:

Griffin Jim E.¹,Leisen Fabrizio¹

Affiliation:

1. University of Kent; Canterbury UK

Funder

Seventh Framework Programme

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12176/fullpdf

Reference39 articles.

1. On adaptive Markov Chain Monte Carlo algorithms;Atchadé;Bernoulli,2005

2. Multivariate subordination, self-decomposability and stability;Barndorff-Nielsen;Adv. Appl. Probab.,2001

3. Beta-Product dependent Pitman-Yor Processes for Bayesian inference;Bassetti;J. Econmetr.,2014

4. A randomized trial of wr-2721 (amifostine) as a chemoprotective agent in combination with high-dose cyclophosphamide and molgramostim (GM-CSG);Budman;Cancer Therpeut.,1998

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Beta-CoRM: A Bayesian approach for n-gram profiles analysis;Computational Statistics & Data Analysis;2025-02

2. A Unified Approach to Hierarchical Random Measures;Sankhya A;2023-11-08

3. Nonparametric priors with full-range borrowing of information;Biometrika;2023-10-19

4. A Wasserstein Index of Dependence for Random Measures;Journal of the American Statistical Association;2023-09-20

5. Normalised latent measure factor models;Journal of the Royal Statistical Society Series B: Statistical Methodology;2023-06-23