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APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION
2020Approximate Bayesian Computation (ABC) methods have become a “mainstream” statistical technique in the past decade, following the realisation that they were a form of non-parametric inference, and connected as well with the econometric technique of indirect inference.
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Approximate Bayesian Computation and MCMC
2004For many complex probability models, computation of likelihoods is either impossible or very time consuming. In this article, we discuss methods for simulating observations from posterior distributions without the use of likelihoods. A rejection approach is illustrated using an example concerning inference in the fossil record.
Vincent Plagnol, Simon Tavaré
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Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
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Application of Bayesian approaches in drug development: starting a virtuous cycle
Nature Reviews Drug Discovery, 2023Stephen J Ruberg, Lisa M Lavange
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Recent Advances in Bayesian Optimization
ACM Computing Surveys, 2023Xilu Wang, Yaochu Jin, Sebastian Schmitt
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Bayesian reaction optimization as a tool for chemical synthesis
Nature, 2021Benjamin J Shields +2 more
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Bayesian statistical methods for genetic association studies
Nature Reviews Genetics, 2009Matthew Stephens
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Bayesian community-wide culture-independent microbial source tracking
Nature Methods, 2011Dan Knights +2 more
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