158 citations · 197 across the 3 of their papers we have counts for
3 papers
Nested sampling for physical scientists
Greg Ashton, Noam Bernstein, Johannes Buchner +20
We review Skilling's nested sampling (NS) algorithm for Bayesian inference and more broadly multi-dimensional integration. After recapitulating the principles of NS, we survey deve…
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
James. W. Nightingale, Richard G. Hayes, Matthew Griffiths
A major trend in academia and data science is the rapid adoption of Bayesian statistics for data analysis and modeling, leading to the development of probabilistic programming lang…
Modelling Levy space-time white noises
Matthew Griffiths, Markus Riedle
Based on the theory of independently scattered random measures, we introduce a natural generalisation of Gaussian space-time white noise to a Levy-type setting, which we call Levy-…