Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
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Publication:261048
DOI10.1007/s11222-014-9469-xzbMath1332.60117arXiv1401.4369OpenAlexW3098926670WikidataQ61434479 ScholiaQ61434479MaRDI QIDQ261048
Chris Sherlock, Daniel A. Henderson, Andrew Golightly
Publication date: 22 March 2016
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1401.4369
particle MCMCchemical Langevin equationdelayed acceptancelinear noise approximationMarkov jump process
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The pseudo-marginal approach for efficient Monte Carlo computations
- On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
- Bayesian inference for nonlinear multivariate diffusion models observed with error
- On the efficiency of pseudo-marginal random walk Metropolis algorithms
- Bayesian inference for stochastic epidemic models with time-inhomogeneous removal rates
- Network epidemic models with two levels of mixing
- A hierarchy of approximations of the master equation scaled by a size parameter
- Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation
- Particle Markov Chain Monte Carlo for Efficient Numerical Simulation
- Automatic Selection of Methods for Solving Stiff and Nonstiff Systems of Ordinary Differential Equations
- Particle Markov Chain Monte Carlo Methods
- Exact Filtering for Partially Observed Continuous Time Models
- Inference for reaction networks using the linear noise approximation
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- Solutions of ordinary differential equations as limits of pure jump markov processes
- Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation
- Monte Carlo strategies in scientific computing
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