On Data Augmentation for Models Involving Reciprocal Gamma Functions-Reference-Cited by-同舟云学术

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On Data Augmentation for Models Involving Reciprocal Gamma Functions

Published:2022-10-27 Issue: Volume: Page:1-9
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Hamura Yasuyuki¹,Irie Kaoru²,Sugasawa Shonosuke³

Affiliation:

1. Graduate School of Economics, Kyoto University, Yoshida-Honmachi, Sakyo, Kyoto, Japan

2. Faculty of Economics, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, Japan

3. Center for Spatial Information Science, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa, Chiba, Japan

Funder

JSPS KAKENHI

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2119988

Reference17 articles.

1. Perfect Sampling of the Posterior in the Hierarchical Pitman–Yor Process

2. 10.1162/jmlr.2003.3.4-5.993

3. Understanding the Metropolis-Hastings Algorithm

4. Bayesian linear regression models with flexible error distributions

5. A note on generating random variables with log-concave densities

Cited by 1 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. Sparse Bayesian Inference on Gamma-Distributed Observations Using Shape-Scale Inverse-Gamma Mixtures;Bayesian Analysis;2022-01-01

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