M. P. Hobson

University of Cambridge — United Kingdom

Physics and Astronomy · Physical Sciences

26h-index2.3kcitations84works0.02yr avg
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Research Topics

Cosmology and Gravitation Theories(25), Galaxies: Formation, Evolution, Phenomena(23), Radio Astronomy Observations and Technology(19), Astrophysics and Cosmic Phenomena(11), Astrophysics and Star Formation Studies(8)

Publications84 total

Quantum initial conditions for curved inflating universes
arXiv (Cornell University)·2022Open Access
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
Geophysical Journal International·2022· 6 citedOpen Access
Accelerating Bayesian microseismic event location with deep learning
Solid Earth·2021· 13 citedOpen Access
Bayesian evidence for the tensor-to-scalar ratio<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>r</mml:mi></mml:math>and neutrino masses<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>m</mml:mi></mml:mrow><mml:mrow><mml:mi>ν</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>: Effects of uniform versus logarithmic priors
Physical review. D/Physical review. D.·2021· 43 citedOpen Access
Comment on se-2021-24
2021Open Access
Comment on se-2021-24
2021Open Access
Accelerating Bayesian microseismic event location with deeplearning
2021· 2 citedOpen Access
Deep generative models for accelerated Bayesian posterior inference of microseismic events
arXiv (Cornell University)·2020· 2 citedOpen Access
An alternative approach to modelling a cosmic void and its effect on the cosmic microwave background
Monthly Notices of the Royal Astronomical Society·2019· 11 citedOpen Access
Sunyaev–Zel’dovich profile fitting with joint AMI-Planck analysis
Monthly Notices of the Royal Astronomical Society·2019· 13 citedOpen Access
Bayesian power spectrum estimation at the Epoch of Reionization
Monthly Notices of the Royal Astronomical Society·2019· 1 citedOpen Access
Free-form modelling of galaxy clusters: a Bayesian and data-driven approach
Monthly Notices of the Royal Astronomical Society·2018· 10 citedOpen Access
Towards a framework for testing general relativity with extreme-mass-ratio-inspiral observations
Monthly Notices of the Royal Astronomical Society·2018· 33 citedOpen Access
Sampling From the Posterior in Reservoir Simulation
2017· 2 cited
Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma
PLoS ONE·2017· 46 citedOpen Access
AMI observations of 10 CLASH galaxy clusters: SZ and X-ray data used together to determine cluster dynamical states
Monthly Notices of the Royal Astronomical Society·2016· 13 citedOpen Access
Generative pulsar timing analysis
Monthly Notices of the Royal Astronomical Society·2015· 22 citedOpen Access
Bayesian estimation of non-Gaussianity in pulsar timing analysis
Monthly Notices of the Royal Astronomical Society·2014· 22 citedOpen Access
SkyNet: an efficient and robust neural network training tool for machine learning in astronomy
Monthly Notices of the Royal Astronomical Society·2014· 106 citedOpen Access
Exploring local fNL estimators based on the binned bispectrum
Monthly Notices of the Royal Astronomical Society·2013· 6 citedOpen Access
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Frequent Co-authors

A. Lasenby(35), Keith Grainge(21), Richard D. E. Saunders(21), Paul F. Scott(17), R. Rébolo(14), Elizabeth Waldram(14), R. A. Watson(14), G. G. Pooley(13), Anna M. M. Scaife(13), D. Titterington(13), J. A. Rubiño-Martín(12), C. L. Dickinson(11), Malak Olamaie(10), R. D. Davies(9), Richard J. Davis(9), Kieran Cleary(8), R. Génova-Santos(8), R. Kneißl(8), Angela C. Taylor(8), Thomas M. O. Franzen(8)