Using simulation to handle implicit likelihoods in a Bayesian analysis-Reference-Cited by-同舟云学术

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Using simulation to handle implicit likelihoods in a Bayesian analysis

Published:2021-01-02 Issue:1 Volume:33 Page:172-177
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Hamada M. S.¹,Graves T. L.²,Hengartner N. W.¹,Higdon D. M.³,Huzurbazar A. V.¹,Lawrence E.¹,Linkletter C. D.⁴,Reese C. S.⁵,Scott D. W.⁶,Sitter R. R.⁷,Warr R. L.⁵,Williams B. J.¹

Affiliation:

1. Los Alamos National Laboratory, Los Alamos, New Mexico

2. Berry Consultants, Austin;

3. Virginia Polytechnic Institute, Blacksburg;

4. The Lego Group, Boston;

5. Brigham Young University, Provo;

6. Rice University, Houston;

7. Simon Fraser University, Vancouver, CND

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2020.1814959

Reference10 articles.

1. Understanding the Metropolis-Hastings Algorithm

2. Bayesian Data Analysis

3. Making Inferences with Indirect Measurements

4. The costs of using incomplete response data for the exponential regression model

5. The costs of using incomplete exponential data

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 note on using simulated implicit likelihood estimation to analyze summaries from a designed experiment;Quality Engineering;2021-10-25

2. Using simulation to handle implicit likelihoods in a Bayesian analysis;Quality Engineering;2021-01-02

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