Please use this identifier to cite or link to this item: https://doi.org/10.1080/10618600.2017.1302882
DC FieldValue
dc.titleBayesian Synthetic Likelihood
dc.contributor.authorLeah Price
dc.contributor.authorChristopher Drovandi
dc.contributor.authorAnthony Lee
dc.contributor.authorDavid Nott
dc.date.accessioned2018-05-16T04:50:09Z
dc.date.available2018-05-16T04:50:09Z
dc.date.issued2017-07-31
dc.identifier.citationLeah Price, Christopher Drovandi, Anthony Lee, David Nott (2017-07-31). Bayesian Synthetic Likelihood. Journal of Computational and Graphical Statistics 27 (1) : 1-11. ScholarBank@NUS Repository. https://doi.org/10.1080/10618600.2017.1302882
dc.identifier.issn10618600
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/142036
dc.publisherTaylor & Francis
dc.sourceTaylor & Francis
dc.typeArticle
dc.contributor.departmentDEPT OF STATISTICS & APPLIED PROBABILITY
dc.description.doi10.1080/10618600.2017.1302882
dc.description.sourcetitleJournal of Computational and Graphical Statistics
dc.description.volume27
dc.description.issue1
dc.description.page1-11
dc.identifier.isiut000430484300001
dc.published.statepublished
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10.108010618600.2017.1302882.zip2.32 MBZIP

OPEN

NoneView/Download

SCOPUSTM   
Citations

53
checked on Jan 24, 2022

WEB OF SCIENCETM
Citations

53
checked on Jan 24, 2022

Page view(s)

307
checked on Jan 27, 2022

Download(s)

1
checked on Jan 27, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.