Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/29588
Title: | Bayesian Parametric Bootstrap for Models with Intractable Likelihoods | Contributor(s): | Vo, Brenda N (author) ; Drovandi, Christopher C (author); Pettitt, Anthony N (author) | Publication Date: | 2019-03 | Open Access: | Yes | DOI: | 10.1214/17-ba1071 | Handle Link: | https://hdl.handle.net/1959.11/29588 | Abstract: | In this paper it is demonstrated how the Bayesian parametric bootstrap can be adapted to models with intractable likelihoods. The approach is most appealing when the computationally efficient semi-automatic approximate Bayesian computation (ABC) summary statistics are selected. The parametric bootstrap approximation is used to form a proposal distribution in ABC algorithms to improve the computational efficiency. The new approach is demonstrated through the sequential Monte Carlo and the ABC importance and rejection sampling algorithms. We found efficiency gains in two simulation studies, the univariate g-and-k quantile distribution, a toggle switch model in dynamic bionetworks, and in a stochastic model describing expanding melanoma cell colonies. | Publication Type: | Journal Article | Grant Details: | ARC/DP110100159 ARC/DE160100741 |
Source of Publication: | Bayesian Analysis, 14(1), p. 211-234 | Publisher: | International Society for Bayesian Analysis | Place of Publication: | United States of America | ISSN: | 1931-6690 1936-0975 |
Fields of Research (FoR) 2008: | 010401 Applied Statistics 010402 Biostatistics 010406 Stochastic Analysis and Modelling |
Fields of Research (FoR) 2020: | 461302 Computational complexity and computability 460501 Data engineering and data science |
Socio-Economic Objective (SEO) 2008: | 970101 Expanding Knowledge in the Mathematical Sciences | Socio-Economic Objective (SEO) 2020: | 220402 Applied computing | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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