2022年2月7日 · Bayesian synthetic likelihood (BSL; Price, Drovandi, Lee, and Nott 2018) is a popular method for estimating the parameter posterior distribution for complex statistical …

2019年7月25日 · In this paper, we present an R package called BSL that amalgamates the aforementioned methods and more into a single, easy-to-use and coherent piece of software. …

Bayesian synthetic likelihood (BSL, Price et al. (2018)) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal …

2022年11月3日 · Bayesian synthetic likelihood (BSL, Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) is an alternative to standard, non-parametric …

This is the main function for performing MCMC BSL (with a standard or non-standard likelihood estimator) to sample from the approximate posterior distribution. A couple of extentions to the …

2022年11月3日 · Bayesian synthetic likelihood (BSL, \insertCitePrice2018;textualBSL) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL …

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Bayesian synthetic likelihood (BSL, Price et al. (2018)) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal …

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R/BSL-package.R In BSL: Bayesian Synthetic Likelihood #'Bayesian synthetic likelihood #' #'@description Bayesian synthetic likelihood (BSL, #' \insertCite{Price2018;textual}{BSL}) is …