Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

David T. Fraziera Department of Econometrics and Business Statistics, Monash University, Clayton, VIC, Australia;;f Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Melbourne, AustraliaCorrespondence[email protected]
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David J. Nottb Department of Statistics and Data Science, National University of Singapore, Singapore;;;c Operations Research and Analytics Cluster, National University of Singapore, Singapore;;View further author information

Christopher Drovandid School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia;;;f Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Melbourne, Australia

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Robert Kohne Australian School of Business, School of Economics, University of New South Wales, Sydney, NSW, Australia;;;f Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Melbourne, AustraliaView further author information

Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

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