A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications

A. Vehtari, A. Gelman, D. Simpson, B. Carpenter, and P.-C. Bürkner, Rank-normalization, folding, and localization: An improved R ^ \widehat{R} for assessing convergence of MCMC

Original

1903

Earlier work this paper cites.

J. S. Speagle, dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences

Original

1904

Earlier work this paper cites.

S. Dell’Oro, S. Marcocci, and F. Vissani, Empirical Inference on the Majorana Mass of the Ordinary Neutrinos

Original

1909

Earlier work this paper cites.

J. De Blas et al., HEPfit

Original

1910

Earlier work this paper cites.

D. Foreman-Mackey, W. Farr, M. Sinha, A. Archibald, D. Hogg, J. Sanders, J. Zuntz, P. Williams, A. Nelson, M. de Val-Borro, T. Erhardt, I. Pashchenko, and O. Pla, emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

Original

1911

Earlier work this paper cites.

W. D. Vousden, W. M. Farr, and I. Mandel, Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Original

1937

Earlier work this paper cites.

Oxford Classic Texts in the Physical Sciences. Oxford University Press, 1939

H. Jeffreys, The Theory of Probability · 1939

Earlier work this paper cites.

H. H. Rosenbrock, An automatic method for finding the greatest or least value of a function

1960

Earlier work this paper cites.

L. Kish, Survey sampling

1968

Earlier work this paper cites.

L. A. Rastrigin, Systems of extremal control

1974

Earlier work this paper cites.

R. H. Swendsen and J.-S. Wang, Replica Monte Carlo Simulation of Spin-Glasses

1986

Earlier work this paper cites.

A. Gelman and D. B. Rubin, Inference from iterative simulation using multiple sequences

1992

Earlier work this paper cites.

C. J. Geyer, Estimating normalizing constants and reweighting mixtures

1994

Earlier work this paper cites.

M. K. Cowles and B. P. Carlin, Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review

1996

Earlier work this paper cites.

S. P. Brooks and A. Gelman, General methods for monitoring convergence of iterative simulations

1998

Earlier work this paper cites.

S.-J. Jin, D.-Z. He, Y. Xu, J.-F. Zhang, and X. Zhang, Forecast for cosmological parameter estimation with gravitational-wave standard siren observation from the Cosmic Explorer

Original

2001

Earlier work this paper cites.

N. Christensen, R. Meyer, L. Knox, and B. Luey, II. Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements

2001

Earlier work this paper cites.

N. Weinrich, Y. Génolini, M. Boudaud, L. Derome, and D. Maurin, Combined analysis of AMS-02 (Li,Be,B)/C, N/O, 3He, and 4He data

Original

2002

Earlier work this paper cites.

O. H. E. Philcox, M. M. Ivanov, M. Simonović, and M. Zaldarriaga, Combining Full-Shape and BAO Analyses of Galaxy Power Spectra: A 1.6\% CMB-independent constraint on H 0

Original

2002

Earlier work this paper cites.

A. Lewis and S. Bridle, Cosmological parameters from CMB and other data: A Monte Carlo approach

2002

Earlier work this paper cites.

M. Karamanis and F. Beutler, Ensemble slice sampling

Original

2002

Earlier work this paper cites.

arXiv:2002.12220

Original

G. Brooijmans et al., Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report · 2002

Earlier work this paper cites.

R. Aoude, T. Hurth, S. Renner, and W. Shepherd, The impact of flavour data on global fits of the MFV SMEFT

Original

2003

Earlier work this paper cites.

World Scientific, 2003

G. D’agostini, Bayesian reasoning in data analysis: A critical introduction · 2003

Earlier work this paper cites.

R. M. Neal, Slice sampling

2003

Earlier work this paper cites.

J. Skilling, Nested Sampling

2004

Earlier work this paper cites.

E. A. Baltz and P. Gondolo, Markov chain Monte Carlo exploration of minimal supergravity with implications for dark matter

2004

Earlier work this paper cites.

D. J. Earl and M. W. Deem, Parallel tempering: Theory, applications, and new perspectives

2005

Earlier work this paper cites.

P. F. de Salas, D. V. Forero, S. Gariazzo, P. Martínez-Miravé, O. Mena, C. A. Ternes, M. Tórtola, and J. W. F. Valle, 2020 global reassessment of the neutrino oscillation picture

Original

2006

Earlier work this paper cites.

OUP Oxford, 2006

D. Sivia and J. Skilling, Data analysis: a Bayesian tutorial · 2006

Earlier work this paper cites.

J. Skilling, Nested sampling for general bayesian computation

2006

Earlier work this paper cites.

R. Ruiz de Austri, R. Trotta, and L. Roszkowski, A Markov chain Monte Carlo analysis of the CMSSM

2006

Earlier work this paper cites.

A. Fowlie, W. Handley, and L. Su, Nested sampling cross-checks using order statistics

Original

2006

Earlier work this paper cites.

I. Esteban, M. C. Gonzalez-Garcia, M. Maltoni, T. Schwetz, and A. Zhou, The fate of hints: updated global analysis of three-flavor neutrino oscillations

Original

2007

Earlier work this paper cites.

K. J. Kelly, P. A. N. Machado, S. J. Parke, Y. F. Perez-Gonzalez, and R. Z. Funchal, Neutrino mass ordering in light of recent data

Original

2007

Earlier work this paper cites.

M. Mühlleitner, M. O. P. Sampaio, R. Santos, and J. Wittbrodt, ScannerS: parameter scans in extended scalar sectors

Original

2007

Earlier work this paper cites.

O. Buchmueller, R. Cavanaugh, A. De Roeck, S. Heinemeyer, G. Isidori, P. Paradisi, F. Ronga, A. Weber, and G. Weiglein, Prediction for the Lightest Higgs Boson Mass in the CMSSM using Indirect Experimental Constraints

Original

2007

Earlier work this paper cites.

A. Crivellin, F. Kirk, C. A. Manzari, and M. Montull, Global Electroweak Fit and Vector-Like Leptons in Light of the Cabibbo Angle Anomaly

Original

2008

Earlier work this paper cites.

D. Bose, L. Brayeur, M. Casier, K. D. De Vries, G. Golup, and N. Van Eijndhoven, Bayesian approach for counting experiment statistics applied to a neutrino point source analysis

Original

2008

Cited alongside, same era.

C. Andrieu and J. Thoms, A tutorial on adaptive MCMC

2008

Cited alongside, same era.

C. Andrieu and G. O. Roberts, The pseudo-marginal approach for efficient monte carlo computations

2009

Cited alongside, same era.

F. Feroz, M. P. Hobson, and M. Bridges, MULTINEST: an efficient and robust Bayesian inference tool for cosmology and particle physics

Original

2009

Cited alongside, same era.

Anisha, S. Das Bakshi, J. Chakrabortty, and S. K. Patra, Connecting electroweak-scale observables to BSM physics through EFT and Bayesian statistics

Original

2010

F. Capozzi, E. Di Valentino, E. Lisi, A. Marrone, A. Melchiorri, and A. Palazzo, Global constraints on absolute neutrino masses and their ordering

Original

2020

Later among the works it cites.

S. Brown, G. Niculescu, and I. Niculescu, Machine learning representation of the F2 structure function over all charted Q2 and x range

Original

2021

Later among the works it cites.

M. C. Gonzalez-Garcia, M. Maltoni, and T. Schwetz, NuFIT: Three-Flavour Global Analyses of Neutrino Oscillation Experiments

Original

2021

Later among the works it cites.

J. E. Camargo-Molina, R. Enberg, and J. Löfgren, A new perspective on the electroweak phase transition in the Standard Model Effective Field Theory

Original

2021

Later among the works it cites.

J. Dickinson, S. Bein, S. Heinemeyer, J. Hiltbrand, J. Hirschauer, W. Hopkins, E. Lipeles, M. Mrowietz, and N. Strobbe, A Grand Scan of the pMSSM Parameter Space for Snowmass 2021