Dr Dennis Prangle
Sophie Harbisher
Dr Colin Gillespie
| Bayesian Experimental Design Without Posterior Calculations: An Adversarial Approach | 2023 |
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Dr Andrew Golightly
Dr Dennis Prangle
| Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter | 2022 |
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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 inference | 2021 |
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Matthew Fisher
Dr Matt Graham
Dr Dennis Prangle
Professor Chris Oates
| Measure Transport with Kernel Stein Discrepancy | 2021 |
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Matthew Fisher
Dr Matt Graham
Dr Dennis Prangle
Professor Chris Oates
| Measure Transport with Kernel Stein Discrepancy | 2021 |
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Dr Vlad Gonzalez
Dr Dennis Prangle
Professor Paolo Missier
| Optimising Fairness Through Parametrised Data Sampling | 2021 |
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Tom Ryder
Dr Dennis Prangle
| Black-Box Inference for Non-Linear Latent Force Models | 2020 |
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Tom Ryder
Dr Dennis Prangle
| Black-Box Inference for Non-Linear Latent Force Models | 2020 |
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Dr Dennis Prangle
| gk: An R Package for the g-and-k and Generalised g-and-h Distributions | 2020 |
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Professor Chris Oates
Dr Dennis Prangle
| Optimality Criteria for Probabilistic Numerical Methods | 2020 |
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Dr Dennis Prangle
| A rare event approach to high-dimensional approximate Bayesian computation | 2018 |
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Tom Ryder
Dr Andrew Golightly
Dr Stephen McGough
Dr Dennis Prangle
| Black-box Variational Inference for Stochastic Differential Equations | 2018 |
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Dr Dennis Prangle
| Recalibration: A post-processing method for approximate Bayesian computation | 2018 |
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Dr Dennis Prangle
| Summary statistics in Approximate Bayesian Computation | 2018 |
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Dr Dennis Prangle
| Taking Error Into Account When Fitting Models Using Approximate Bayesian Computation | 2018 |
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Dr Dennis Prangle
| A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation | 2017 |
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Dr Dennis Prangle
| Adapting the ABC distance function | 2017 |
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Dr Dennis Prangle
| Lazy ABC | 2016 |
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Dr Dennis Prangle
| abctools: an R package for tuning approximate Bayesian computation analyses | 2015 |
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Dr Dennis Prangle
| Estimating age of mature adults from the degeneration of the sternal end of the clavicle | 2015 |
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Dr Dennis Prangle
| Diagnostic tools for approximate Bayesian computation using the coverage property | 2014 |
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Dr Dennis Prangle
| A comparative review of dimension reduction methods in approximate Bayesian computation | 2013 |
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