Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations

17 Jul 2015Sanmitra GhoshSrinandan DasmahapatraKoushik Maharatna

Approximate Bayesian computation (ABC) using a sequential Monte Carlo method provides a comprehensive platform for parameter estimation, model selection and sensitivity analysis in differential equations. However, this method, like other Monte Carlo methods, incurs a significant computational cost as it requires explicit numerical integration of differential equations to carry out inference... (read more)

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