BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood

Bayesian synthetic likelihood (BSL) is a popular method for estimating the parameter posterior distribution for complex statistical models and stochastic processes that possess a computationally intractable likelihood function. Instead of evaluating the likelihood, BSL approximates the likelihood of...

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Bibliographische Detailangaben

Hauptverfasser:	An, Ziwen, South, Leah F, Drovandi, Christopher
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Applications Statistics - Computation Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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