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We present a method for improving the performance of nested sampling as well as its accuracy.
Bayesian automated posterior repartitioning for nested sampling, 2019, [arXiv:1908.04655]
Chen, X.; Feroz, F.; Hobson, M · 1908
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On Information and Sufficiency
Kullback, S.; Leibler, R.A · 1951
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A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm
Arminger, G.; Muthén, B.O · 1998
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Cosmological parameters from CMB and other data: A Monte Carlo approach
Lewis, A.; Bridle, S · 2002
Earlier work this paper cites.
MacKay, D.J.C., Information Theory, Inference, and Learning Algorithms; Cambridge University press, 2003; chapter 29. Monte-Carlo methods, pp. 379–380
2003
Earlier work this paper cites.
Nested sampling for general Bayesian computation
Skilling, J · 2006
Earlier work this paper cites.
MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics
Feroz, F.; Hobson, M.P.; Bridges, M · 2009
Cited alongside, same era.
Efficient sampling of fast and slow cosmological parameters
Lewis, A · 2013
Cited alongside, same era.
polychord: next-generation nested sampling
Handley, W.J.; Hobson, M.P.; Lasenby, A.N · 2015
Cited alongside, same era.
CosmoSIS: Modular cosmological parameter estimation
Zuntz, J.; Paterno, M.; Jennings, E.; Rudd, D.; Manzotti, A.; Dodelson, S.; Bridle, S.; Sehrish, S.; Kowalkowski, J · 2015
Cited alongside, same era.
MontePython 3: Boosted MCMC sampler and other features
Brinckmann, T.; Lesgourgues, J · 2018
Cited alongside, same era.
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation
Edward Higson and Will Handley and Mike Hobson and Anthony N. Lasenby · 2018
Later among the works it cites.
Planck 2018 results. VI. Cosmological parameters
Planck Collaboration · 2020
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Cobaya: code for Bayesian analysis of hierarchical physical models
Torrado, J.; Lewis, A · 2021
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Author Correction: Nested sampling for physical scientists
Ashton, G.; Bernstein, N.; Buchner, J.; Chen, X.; Csányi, G.; Fowlie, A.; Feroz, F.; Griffiths, M.; Handley, W.; Habeck, M.; Higson, E.; Hobson, M.; Lasenby, A.; Parkinson, D.; Pártay, L.B.; Pitkin, M.; Schneider, D.; Speagle, J.S.; South, L.; Veitch, J.; Wacker, P.; Wales, D.J.; Yallup, D · 2022
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A general Bayesian framework for foreground modelling and chromaticity correction for global 21 cm experiments
Anstey, D.; de Lera Acedo, E.; Handley, W · 2058
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