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Browsing publications by Dr Dennis Prangle

Newcastle AuthorsTitleYearFull text
Dr Dennis Prangle
Sophie Harbisher
Dr Colin Gillespie
Bayesian Experimental Design Without Posterior Calculations: An Adversarial Approach2023
Dr Andrew Golightly
Dr Dennis Prangle
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter2022
Dr Aleksandra Svalova
Dr Peter Helm
Dr Dennis Prangle
Professor Mohamed Rouainia
Professor Stephanie Glendinning
et al.		Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference2021
Matthew Fisher
Dr Matt Graham
Dr Dennis Prangle
Professor Chris Oates
Measure Transport with Kernel Stein Discrepancy2021
Matthew Fisher
Dr Matt Graham
Dr Dennis Prangle
Professor Chris Oates
Measure Transport with Kernel Stein Discrepancy2021
Dr Vlad Gonzalez
Dr Dennis Prangle
Professor Paolo Missier
Optimising Fairness Through Parametrised Data Sampling2021
Tom Ryder
Dr Dennis Prangle
Black-Box Inference for Non-Linear Latent Force Models2020
Tom Ryder
Dr Dennis Prangle
Black-Box Inference for Non-Linear Latent Force Models2020
Dr Dennis Prangle
gk: An R Package for the g-and-k and Generalised g-and-h Distributions2020
Professor Chris Oates
Dr Dennis Prangle
Optimality Criteria for Probabilistic Numerical Methods2020
Dr Dennis Prangle
A rare event approach to high-dimensional approximate Bayesian computation2018
Tom Ryder
Dr Andrew Golightly
Dr Stephen McGough
Dr Dennis Prangle
Black-box Variational Inference for Stochastic Differential Equations2018
Dr Dennis Prangle
Recalibration: A post-processing method for approximate Bayesian computation2018
Dr Dennis Prangle
Summary statistics in Approximate Bayesian Computation2018
Dr Dennis Prangle
Taking Error Into Account When Fitting Models Using Approximate Bayesian Computation2018
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