Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization-Reference-Cited by-同舟云学术

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Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization

Published:2023-07-20 Issue: Volume: Page:1-11
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Drovandi Christopher¹^ORCID,Nott David J.²,Frazier David T.³

Affiliation:

1. School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia

2. Department of Statistics and Data Science, National University of Singapore, Singapore

3. Department of Econometrics and Business Statistics, Monash University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2223574

Reference29 articles.

1. The rate of convergence for approximate Bayesian computation

2. Nonformation

3. Approximate Bayesian Computation: A Nonparametric Perspective

4. Non-linear regression models for Approximate Bayesian Computation

5. Bayesian Inference for the Weights in Logarithmic Pooling

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On predictive inference for intractable models via approximate Bayesian computation;Statistics and Computing;2023-02-09

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