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05/04/2023
Piecewise Normalizing Flows
Normalizing flows are an established approach for modelling complex prob...
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05/31/2022
Nested sampling for physical scientists
We review Skilling's nested sampling (NS) algorithm for Bayesian inferen...
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05/23/2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation
The true posterior distribution of a Bayesian neural network is massivel...
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05/27/2021
Nested sampling for frequentist computation: fast estimation of small p-values
We propose a novel method for computing p-values based on nested samplin...
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02/24/2021
Nested sampling with any prior you like
Nested sampling is an important tool for conducting Bayesian analysis in...
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10/26/2020
Nested sampling with plateaus
It was recently emphasised by Riley (2019); Schittenhelm Wacker (202...
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06/05/2020
Nested sampling cross-checks using order statistics
Nested sampling (NS) is an invaluable tool in data analysis in modern as...
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04/25/2020
Compromise-free Bayesian neural networks
We conduct a thorough analysis of the relationship between the out-of-sa...
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09/12/2018
Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning
We present a principled Bayesian framework for signal reconstruction, in...
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04/22/2018
Maximum entropy priors with derived parameters in a specified distribution
We propose a method for transforming probability distributions so that p...
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04/16/2018
Nestcheck: diagnostic tests for nested sampling calculations
Nested sampling is an increasingly popular technique for Bayesian comput...
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04/16/2018
