The Methods of Sequential Analysis of Bayesian Type for the Multiple Testing Problem
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Publication:5413550
DOI10.1080/07474946.2013.843318zbMath1319.62061OpenAlexW2003172162MaRDI QIDQ5413550
Publication date: 30 April 2014
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474946.2013.843318
hypotheses testingsequential analysisdecision ruleconstrained Bayesian taskshypothesis acceptance errors
Parametric hypothesis testing (62F03) Bayesian inference (62F15) Sequential statistical analysis (62L10) Paired and multiple comparisons; multiple testing (62J15)
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Cites Work
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- Unified frequentist and Bayesian testing of a precise hypothesis. With comments by Dennis V. Lindley, Thomas A. Louis and David Hinkley and a rejoinder by the authors
- A unified conditional frequentist and Bayesian test for fixed and sequential simple hypothesis testing
- A characterization of the convolution of Gaussian and Poisson distributions
- Sensitivity Analysis of Classical and Conditional Bayesian Problems of Many Hypotheses Testing
- Simultaneous Bayesian-frequentist sequential testing of nested hypotheses
- Bounds on the Maximum Sample Size of a Bayes Sequential Procedure
- Conditional Bayesian task of testing many hypotheses
- Optimal Stopping Rules
- A Modified Bayes Stopping Rule
- Foundations of a General Theory of Sequential Decision Functions
- Optimum Character of the Sequential Probability Ratio Test
- Bayes and Minimax Solutions of Sequential Decision Problems
- Contributions to the Theory of Sequential Analysis. I
