A frequency-calibrated Bayesian search for new particles

DOI10.1214/18-AOAS1138zbMath1405.62249OpenAlexW2890985400WikidataQ129264744 ScholiaQ129264744MaRDI QIDQ1621052

Shirin Golchi, Richard A. Lockhart

Publication date: 15 November 2018

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1536652981

zbMATH Keywords

Higgs bosonsequential Monte CarloBayes ruledecision setlinear loss function

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Monte Carlo methods (65C05) Supersymmetric field theories in quantum mechanics (81T60) Applications of statistics to physics (62P35) (S)-matrix theory, etc. in quantum theory (81U20)

Related Items (1)

Informative priors in Bayesian inference and computation

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