Bayesian model selection for likelihood-based and simulation-based inference


Date
Oct 2022
Event
IAU-IAA Astrostats & Astroinfo seminar
Location
Remote
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Jason McEwen
Professor of Astrostatistics

My research interests encompass astroinformatics and astrostatistics, including Bayesian inference, harmonic analysis, optimisation, computational techniques, and machine learning and artificial intelligence, with a focus on application to cosmology and radio interferometry.