Uniformly most powerful Bayesian tests
From MaRDI portal
Publication:385759
DOI10.1214/13-AOS1123zbMath1277.62084arXiv1309.4656OpenAlexW3105309374WikidataQ37649564 ScholiaQ37649564MaRDI QIDQ385759
Publication date: 11 December 2013
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1309.4656
Bayes factorsHiggs bosonNeyman-Pearson lemmauniformly most powerful testsobjective BayesJeffreys-Lindley paradoxnon-local prior densitiesone-parameter exponential family model
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (16)
Bayesian t-tests for correlations and partial correlations ⋮ A frequency-calibrated Bayesian search for new particles ⋮ Testing un-separated hypotheses by estimating a distance ⋮ Prior distributions for objective Bayesian analysis ⋮ Hypothesis Testing in Presence of Adversaries ⋮ Reply to Gelman, Gaudart, Pericchi: More reasons to revise standards for statistical evidence ⋮ On biases in assessing replicability, statistical consistency and publication bias ⋮ Revised standards for statistical evidence ⋮ A note on Type S/M errors in hypothesis testing ⋮ A modified sequential probability ratio test ⋮ On the existence of uniformly most powerful Bayesian tests with application to non-central chi-squared tests ⋮ Restricted most powerful Bayesian tests for linear models ⋮ A Powerful Bayesian Test for Equality of Means in High Dimensions ⋮ Comparing Objective and Subjective Bayes Factors for the Two-Sample Comparison: The Classification Theorem in Action ⋮ The False Positive Risk: A Proposal Concerning What to Do About p-Values ⋮ Abandon Statistical Significance
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Harold Jeffreys's \textit{Theory of probability} revisited
- The Intrinsic Bayes Factor for Model Selection and Prediction
- A STATISTICAL PARADOX
- Properties of Bayes Factors Based on Test Statistics
- Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
- IX. On the problem of the most efficient tests of statistical hypotheses
- Bayesian Model Selection in High-Dimensional Settings
- Testing Statistical Hypotheses
- Bayes Factors Based on Test Statistics
- Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction
- The case for objective Bayesian analysis
This page was built for publication: Uniformly most powerful Bayesian tests
