Piecewise approximate Bayesian computation: fast inference for discretely observed Markov models using a factorised posterior distribution

DOI10.1007/s11222-013-9432-2zbMath1331.65024arXiv1301.2975OpenAlexW2003198230WikidataQ40813437 ScholiaQ40813437MaRDI QIDQ5962740

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Publication date: 23 February 2016

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.2975

zbMATH Keywords

simulationapproximate Bayesian computationstochastic Lotka-Volterra

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

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Uses Software

• KernSmooth

Cites Work

• A model for the shapes of advected triangles
• An adaptive sequential Monte Carlo method for approximate Bayesian computation
• A new test for multivariate normality
• A Theory of the Term Structure of Interest Rates
• Parameter Estimation for Hidden Markov Models with Intractable Likelihoods
• Particle Markov Chain Monte Carlo Methods
• FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
• Optimal Detection of Changepoints With a Linear Computational Cost
• Expectation Propagation for Likelihood-Free Inference
• MCMC for Integer-Valued ARMA processes
• Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-form Approximation Approach
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