A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons

DOI10.1002/cjs.10109zbMath1228.62087arXiv1010.0694OpenAlexW3104376369WikidataQ57826656 ScholiaQ57826656MaRDI QIDQ3108007

David R. Bickel

Publication date: 28 December 2011

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.0694

zbMATH Keywords

model selectionminimum description lengthmultiple testingweighted likelihoodinformation criteriapenalized likelihoodside informationnormalized maximum likelihoodindirect evidencereduced likelihoodinformation for discriminationworst-case inference

Mathematics Subject Classification ID

Bayesian inference (62F15) Statistical aspects of information-theoretic topics (62B10) Paired and multiple comparisons; multiple testing (62J15)

Related Items

Coherent Frequentism: A Decision Theory Based on Confidence Sets, Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing, Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors, Game-theoretic probability combination with applications to resolving conflicts between statistical methods, Rejoinder, Model fusion and multiple testing in the likelihood paradigm: shrinkage and evidence supporting a point null hypothesis, A likelihood paradigm for clinical trials, Pseudo-likelihood, explanatory power, and Bayes's theorem [Comment on: ``A likelihood paradigm for clinical trials]

Uses Software

• Bioconductor

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