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The Journal of Chemical Physics|June 17, 2019
Guided proposals for efficient weighted stochastic simulationColin S Gillespie, Andrew GolightlyMethods in Molecular Biology (Clifton, N.J.)|May 30, 2013
Simulation of stochastic kinetic modelsAndrew Golightly, Colin S GillespieStatistical Applications in Genetics and Molecular Biology|September 30, 2016
Diagnostics for assessing the linear noise and moment closure approximationsColin S Gillespie, Andrew GolightlyThe Journal of Chemical Physics|January 14, 2012
Stochastic simulation of chemically reacting systems using multi-core processorsColin S GillespieMathematical Biosciences|February 20, 2007
An improved saddlepoint approximationColin S Gillespie, Eric RenshawStatistical Applications in Genetics and Molecular Biology|February 27, 2015
Bayesian inference for Markov jump processes with informative observationsAndrew Golightly, Darren J WilkinsonJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 19, 2006
Bayesian sequential inference for stochastic kinetic biochemical network modelsAndrew Golightly, Darren J WilkinsonInterface Focus|December 11, 2012
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte CarloAndrew Golightly, Darren J WilkinsonMathematical Biosciences|February 23, 2011
Moment closure approximations for stochastic kinetic models with rational rate lawsPeter Milner, Colin S Gillespie, Darren J WilkinsonStatistical Applications in Genetics and Molecular Biology|February 27, 2015
Likelihood free inference for Markov processes: a comparisonJamie Owen, Darren J Wilkinson, Colin S GillespiePageof 3