Bayesian inference using synthetic likelihood: asymptotics and adjustments
10.1080/01621459.2022.2086132
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2024
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sg-nus-scholar.10635-2467422024-11-08T19:09:32Z Bayesian inference using synthetic likelihood: asymptotics and adjustments David Frazier David J Nott Christopher C Drovandi Robert J Kohn STATISTICS & APPLIED PROBABILITY 10.1080/01621459.2022.2086132 Journal of the American Statistical Association 118 544 2821-2832 2024-01-18T09:42:51Z 2024-01-18T09:42:51Z 2022-07-11 Article David Frazier, David J Nott, Christopher C Drovandi, Robert J Kohn (2022-07-11). Bayesian inference using synthetic likelihood: asymptotics and adjustments. Journal of the American Statistical Association 118 (544) : 2821-2832. ScholarBank@NUS Repository. https://doi.org/10.1080/01621459.2022.2086132 0162-1459 https://scholarbank.nus.edu.sg/handle/10635/246742 Taylor & Francis Taylor & Francis |
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10.1080/01621459.2022.2086132 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY David Frazier David J Nott Christopher C Drovandi Robert J Kohn |
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Article |
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David Frazier David J Nott Christopher C Drovandi Robert J Kohn |
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David Frazier David J Nott Christopher C Drovandi Robert J Kohn Bayesian inference using synthetic likelihood: asymptotics and adjustments |
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David Frazier |
title |
Bayesian inference using synthetic likelihood: asymptotics and adjustments |
title_short |
Bayesian inference using synthetic likelihood: asymptotics and adjustments |
title_full |
Bayesian inference using synthetic likelihood: asymptotics and adjustments |
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Bayesian inference using synthetic likelihood: asymptotics and adjustments |
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Bayesian inference using synthetic likelihood: asymptotics and adjustments |
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bayesian inference using synthetic likelihood: asymptotics and adjustments |
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Taylor & Francis |
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2024 |
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https://scholarbank.nus.edu.sg/handle/10635/246742 |
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