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ON THE EFFICIENCY OF PSEUDO-MARGINAL RANDOM WALK METROPOLIS ALGORITHMS

The Annals of statistics, 2015-02, Vol.43 (1), p.238-275

2015

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Direct statistical inference for finite Markov jump processes via the matrix exponential

Computational statistics, 2021-12, Vol.36 (4), p.2863-2887

Sherlock, Chris

2021

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Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2009-08, Vol.15 (3), p.774-798

2009

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Idiopathic focal eosinophilic enteritis (IFEE), an emerging cause of abdominal pain in horses: the effect of age, time and geographical location on risk

PloS one, 2014-12, Vol.9 (12), p.e112072-e112072

2014

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Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals

Biometrics, 2022-06, Vol.78 (2), p.636-648

2022

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Merging MCMC Subposteriors through Gaussian-Process Approximations

Bayesian analysis, 2018-06, Vol.13 (2)

2018

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Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices

Journal of computational and graphical statistics, 2023-01, Vol.32 (1), p.36-48

2023

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Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes

Statistics and computing, 2022-02, Vol.32 (1), Article 21

2022

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Efficient sampling of conditioned Markov jump processes

Statistics and computing, 2019-09, Vol.29 (5), p.1149-1163

2019

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Variance Bounding of Delayed-Acceptance Kernels

Methodology and computing in applied probability, 2022-09, Vol.24 (3), p.2237-2260

2022

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Feasibility of self-collection of specimens for human papillomavirus testing in hard-to-reach women

Canadian Medical Association journal, 2007-08, Vol.177 (5), p.480-483

2007

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Accelerating inference for stochastic kinetic models

Computational statistics & data analysis, 2023-09, Vol.185, p.107760, Article 107760

2023

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Inference for reaction networks using the linear noise approximation

Biometrics, 2014-06, Vol.70 (2), p.457-466

2014

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The Apogee to Apogee Path Sampler

Journal of computational and graphical statistics, 2023-10, Vol.32 (4), p.1436-1446

2023

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Incidence of hepatitis C virus infection among injection drug users during an outbreak of HIV infection

Canadian Medical Association journal, 2001-10, Vol.165 (7), p.889

2001

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Interim recruitment prediction for multi-center clinical trials

Biostatistics (Oxford, England), 2022-04, Vol.23 (2), p.485-506

2022

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Optimal Scaling for the Pseudo-Marginal Random Walk Metropolis: Insensitivity to the Noise Generating Mechanism

Methodology and computing in applied probability, 2016-09, Vol.18 (3), p.869-884

Sherlock, Chris

2016

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Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators

Biometrika, 2017-09, Vol.104 (3), p.727-734

2017

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Inference for extreme values under threshold‐based stopping rules

Journal of the Royal Statistical Society Series C: Applied Statistics, 2020-08, Vol.69 (4), p.765-789

2020

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Efficiency of delayed-acceptance random walk Metropolis algorithms

The Annals of statistics, 2021-10, Vol.49 (5), p.2972

2021

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Improving statistical models for flood risk assessment

E3S Web of Conferences, 2016, Vol.7, p.1011

2016

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Particle Metropolis-adjusted Langevin algorithms

Biometrika, 2016-09, Vol.103 (3), p.701-717

2016

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Adaptive, Delayed-Acceptance MCMC for Targets With Expensive Likelihoods

Journal of computational and graphical statistics, 2017-04, Vol.26 (2), p.434-444

2017

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Delayed acceptance particle MCMC for exact inference in stochastic kinetic models

Statistics and computing, 2015-09, Vol.25 (5), p.1039-1055

2015

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SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy

Stat (International Statistical Institute), 2023-12, Vol.12 (1), p.n/a

2023

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ON THE EFFICIENCY OF PSEUDO-MARGINAL RANDOM WALK METROPOLIS ALGORITHMS

Direct statistical inference for finite Markov jump processes via the matrix exponential

Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets

Idiopathic focal eosinophilic enteritis (IFEE), an emerging cause of abdominal pain in horses: the effect of age, time and geographical location on risk

Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals

Merging MCMC Subposteriors through Gaussian-Process Approximations

Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices

Augmented pseudo-marginal Metropolis–Hastings for partially observed diffusion processes

Efficient sampling of conditioned Markov jump processes

Variance Bounding of Delayed-Acceptance Kernels

Feasibility of self-collection of specimens for human papillomavirus testing in hard-to-reach women

Accelerating inference for stochastic kinetic models

Inference for reaction networks using the linear noise approximation

The Apogee to Apogee Path Sampler

Incidence of hepatitis C virus infection among injection drug users during an outbreak of HIV infection

Interim recruitment prediction for multi-center clinical trials

Optimal Scaling for the Pseudo-Marginal Random Walk Metropolis: Insensitivity to the Noise Generating Mechanism

Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators

Inference for extreme values under threshold‐based stopping rules

Efficiency of delayed-acceptance random walk Metropolis algorithms

Improving statistical models for flood risk assessment

Particle Metropolis-adjusted Langevin algorithms

Adaptive, Delayed-Acceptance MCMC for Targets With Expensive Likelihoods

Delayed acceptance particle MCMC for exact inference in stochastic kinetic models

SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy

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