Bayesian inference for differential equations

DOI10.1016/j.tcs.2008.07.005zbMath1152.62016OpenAlexW1967809830MaRDI QIDQ959776

Mark A. Girolami

Publication date: 12 December 2008

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2008.07.005

zbMATH Keywords

Markov chain Monte Carlodifferential equationsBayesian statisticsbiochemical pathway models

Mathematics Subject Classification ID

Bayesian inference (62F15) Biochemistry, molecular biology (92C40) Functional-differential equations (including equations with delayed, advanced or state-dependent argument) (34K99) General theory for ordinary differential equations (34A99)

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Uses Software

• BioBayes
• BayesDA

Cites Work

• Estimating Bayes factors via thermodynamic integration and population MCMC
• Marginal Likelihood Estimation via Power Posteriors
• Bayes Factors
• Monte Carlo sampling methods using Markov chains and their applications
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
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