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Quality Engineering Volume 33, 2021 - Issue 1
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Quality Quandaries

Using simulation to handle implicit likelihoods in a Bayesian analysis

M. S. Hamadaa Los Alamos National Laboratory, Los Alamos, New MexicoCorrespondence[email protected]
,
T. L. Gravesb Berry Consultants, Austin;
,
N. W. Hengartnera Los Alamos National Laboratory, Los Alamos, New Mexico
,
D. M. Higdonc Virginia Polytechnic Institute, Blacksburg;
,
A. V. Huzurbazara Los Alamos National Laboratory, Los Alamos, New Mexico
,
E. Lawrencea Los Alamos National Laboratory, Los Alamos, New Mexico
,
C. D. Linkletterd The Lego Group, Boston;
,
C. S. Reesee Brigham Young University, Provo;
,
D. W. Scottf Rice University, Houston;
,
R. R. Sitterg Simon Fraser University, Vancouver, CND
,
R. L. Warre Brigham Young University, Provo;
&
B. J. Williamsa Los Alamos National Laboratory, Los Alamos, New Mexico
 show all
Pages 172-177 | Published online: 10 Feb 2021

References

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  • Sisson, S. A., Y. Fan, and M. A. Beaumont. 2019. Overview of ABC. In Handbook of approximate Bayesian computation, ed. S. A. Sisson, Y. Fan, and M. A. Beaumont. Boca Raton, FL: CRC Press.
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