On general Bayesian inference using loss functions-Reference-Cited by-同舟云学术

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On general Bayesian inference using loss functions

Published:2019-09 Issue: Volume:152 Page:89-91
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Bissiri Pier Giovanni^ORCID,Walker Stephen G.^ORCID

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference13 articles.

1. Some teasers concerning conditional probabilities;Bar-Hillel;Cognition,1982

2. A general framework for updating belief distributions;Bissiri;J. R. Stat. Soc. Ser. B Stat. Methodol.,2016

3. On bayesian learning from bernoulli observations;Bissiri;J. Statist. Plann. Inference,2010

4. Converting information into probability measures with the Kullback–Leibler divergence;Bissiri;Ann. Inst. Statist. Math.,2012

5. Updating subjective probability;Diaconis;J. Am. Statist. Assoc.,1982

Cited by 2 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. A quasi-Bayesian Approach to Small Area Estimation Using Spatial Models;Calcutta Statistical Association Bulletin;2023-12-23

2. Pseudo-Bayesian Small-Area Estimation;Journal of Survey Statistics and Methodology;2023-06-19

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