Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models

Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models

Bayesian methods are advantageous for biological modeling studies due to their ability to quantify and characterize posterior variability in model parameters. When Bayesian methods cannot be applied, due either to nondeterminism in the model or limitations on system observability, approximate Bayesi...

書目詳細資料
Main Authors:	Daly, A, Cooper, J, Gavaghan, D, Holmes, C
格式:	Journal article
出版:	Royal Society 2017

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