Diagnostics for assessing the linear noise and moment closure approximations
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Publication:521438
DOI10.1515/sagmb-2014-0071zbMath1359.92127arXiv1409.1096OpenAlexW2962884501MaRDI QIDQ521438
Andrew Golightly, Colin S. Gillespie
Publication date: 11 April 2017
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1409.1096
Uses Software
Cites Work
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- Exploratory designs for computational experiments
- Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
- Moment closure based parameter inference of stochastic kinetic models
- Bayesian inference for nonlinear multivariate diffusion models observed with error
- Likelihood free inference for Markov processes: a comparison
- A derivative matching approach to moment closure for the stochastic logistic model
- The sorting direct method for stochastic simulation of biochemical systems with varying reaction execution behavior
- Accuracy limitations and the measurement of errors in the stochastic simulation of chemically reacting systems
- Bayesian inference for hybrid discrete-continuous stochastic kinetic models
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Corrigendum: Approximation and inference methods for stochastic biochemical kinetics—a tutorial review (2017 J. Phys. A: Math. Theor. 50 093001)
- Sequential Monte Carlo without likelihoods
- Solutions of ordinary differential equations as limits of pure jump markov processes
- Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation
- Piecewise approximate Bayesian computation: fast inference for discretely observed Markov models using a factorised posterior distribution
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