Accelerating inference for diffusions observed with measurement error
and large sample sizes using Approximate Bayesian Computation

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Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation

3 October 2013

Umberto Picchini

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Papers citing "Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation"

9 / 9 papers shown

Title
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation Adeline Samson M. Tamborrino I. Tubikanec 58 2 0 28 May 2024
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling Thomas P. Prescott R. Baker 56 13 0 17 Jan 2020
Stratified sampling and bootstrapping for approximate Bayesian computation Umberto Picchini R. Everitt 89 1 0 20 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs E. Buckwar M. Tamborrino I. Tubikanec 86 36 0 04 Mar 2019
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms Samuel Wiqvist Umberto Picchini J. Forman Kresten Lindorff-Larsen Wouter Boomsma 40 8 0 15 Jun 2018
ABC and Indirect Inference Christopher C. Drovandi 46 9 0 06 Mar 2018
Delayed acceptance ABC-SMC R. Everitt Paulina A. Rowińska 76 16 0 07 Aug 2017
Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models Umberto Picchini Adeline M. M. Samson 57 17 0 15 Dec 2015
Bayesian model comparison with un-normalised likelihoods R. Everitt A. M. Johansen Ellen Rowing Melina Evdemon-Hogan 128 28 0 01 Apr 2015