A directional continuous wavelet transform on the sphere. - Jason D. McEwen; Michael P. Hobson; Anthony N. Lasenby (CoRR, 2006)

Fast Directional Continuous Spherical Wavelet Transform Algorithms. - Jason D. McEwen; Michael P. Hobson; Daniel J. Mortlock; Anthony N. Lasenby (IEEE Trans. Signal Process., 2007)

Optimal Filters on the Sphere. - Jason D. McEwen; Michael P. Hobson; Anthony N. Lasenby (IEEE Trans. Signal Process., 2008)

Neural Networks for Astronomical Data Analysis and Bayesian Inference. - Philip Graff; Farhan Feroz; Michael P. Hobson; Anthony N. Lasenby (ICDM Workshops, 2013)

SKYNET: an efficient and robust neural network training tool for machine learning in astronomy. - Philip Graff; Farhan Feroz; Michael P. Hobson; Anthony N. Lasenby (CoRR, 2013)

Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models. - Saptarshi Das; Xi Chen 042; Michael P. Hobson (IEEE Trans. Computational Imaging, 2017)

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)

Bayesian automated posterior repartitioning for nested sampling. - Xi Chen 042; Farhan Feroz; Michael P. Hobson (CoRR, 2019)

Improving the efficiency and robustness of nested sampling using posterior repartitioning. - Xi Chen 042; Michael P. Hobson; Saptarshi Das; Paul Gelderblom (Stat. Comput., 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)

Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. - Davide Piras; Alessio Spurio Mancini; Benjamin Joachimi; Michael P. Hobson (CoRR, 2021)

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