fgivenx: A Python package for functional posterior plotting. - Will Handley (J. Open Source Softw., 2018)

An efficient method for solving highly oscillatory ordinary differential equations with applications to physical systems. - Fruzsina Julia Agocs; Will Handley; Anthony N. Lasenby; Michael P. Hobson (CoRR, 2019)

Maximum-Entropy Priors with Derived Parameters in a Specified Distribution. - Will Handley; Marius Millea (Entropy, 2019)

anesthetic: nested sampling visualisation. - Will Handley (J. Open Source Softw., 2019)

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation. - Edward Higson; Will Handley; Michael P. Hobson; Anthony N. Lasenby (Stat. Comput., 2019)

Compromise-free Bayesian neural networks. - Kamran Javid; Will Handley; Mike Hobson; Anthony N. Lasenby (CoRR, 2020)

Split personalities in Bayesian Neural Networks: the case for full marginalisation. - David Yallup; Will Handley; Mike Hobson; Anthony N. Lasenby; Pablo Lemos (CoRR, 2022)

Piecewise Normalizing Flows. - Harry Bevins; Will Handley (CoRR, 2023)

Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H0 inference. - Namu Kroupa; David Yallup; Will Handley; Michael P. Hobson (CoRR, 2023)

Improving Gradient-Guided Nested Sampling for Posterior Inference. - Pablo Lemos; Nikolay Malkin; Will Handley; Yoshua Bengio; Yashar Hezaveh; Laurence Perreault Levasseur (ICML, 2024)

Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data. - Margret Westerkamp; Jakob Roth; Philipp Frank; Will Handley; Torsten A. Enßlin (CoRR, 2024)

A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications. - Joshua Albert; Csaba Balázs; Andrew Fowlie; Will Handley; Nicholas Hunt-Smith; Roberto Ruiz de Austri; Martin White (Comput. Phys. Commun., 2025)

Resonances in reflective Hamiltonian Monte Carlo. - Namu Kroupa; Gábor Csányi; Will Handley (CoRR, 2025)