Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

10.1080/10618600.2018.1537928

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Bibliographic Details
Main Author: David Nott
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Others
Published: Taylor & Francis 2019
Online Access:https://scholarbank.nus.edu.sg/handle/10635/156833
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1568332024-04-03T05:47:00Z Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso David Nott STATISTICS & APPLIED PROBABILITY 10.1080/10618600.2018.1537928 Journal of Computational and Graphical Statistics 28 2 471-475 2019-07-22T07:07:08Z 2019-07-22T07:07:08Z 2019-02-19 Others David Nott (2019-02-19). Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso. Journal of Computational and Graphical Statistics 28 (2) : 471-475. ScholarBank@NUS Repository. https://doi.org/10.1080/10618600.2018.1537928 1061-8600 https://scholarbank.nus.edu.sg/handle/10635/156833 Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/10618600.2018.1537928
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
David Nott
format Others
author David Nott
spellingShingle David Nott
Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
author_sort David Nott
title Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
title_short Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
title_full Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
title_fullStr Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
title_full_unstemmed Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
title_sort accelerating bayesian synthetic likelihood with the graphical lasso
publisher Taylor & Francis
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/156833
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