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Test Martingales, Bayes Factors and p-Values
by
Shen, Alexander
, Shafer, Glenn
, Vovk, Vladimir
, Vereshchagin, Nikolai
in
Bayes factors
/ Bayesian analysis
/ Betting
/ evidence
/ Hypothesis testing
/ Martingales
/ Mathematical functions
/ Mathematical theorems
/ Null hypothesis
/ P values
/ Probabilities
/ Probability
/ Random variables
/ Statistical analysis
/ Statistics
2011
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Test Martingales, Bayes Factors and p-Values
by
Shen, Alexander
, Shafer, Glenn
, Vovk, Vladimir
, Vereshchagin, Nikolai
in
Bayes factors
/ Bayesian analysis
/ Betting
/ evidence
/ Hypothesis testing
/ Martingales
/ Mathematical functions
/ Mathematical theorems
/ Null hypothesis
/ P values
/ Probabilities
/ Probability
/ Random variables
/ Statistical analysis
/ Statistics
2011
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Do you wish to request the book?
Test Martingales, Bayes Factors and p-Values
by
Shen, Alexander
, Shafer, Glenn
, Vovk, Vladimir
, Vereshchagin, Nikolai
in
Bayes factors
/ Bayesian analysis
/ Betting
/ evidence
/ Hypothesis testing
/ Martingales
/ Mathematical functions
/ Mathematical theorems
/ Null hypothesis
/ P values
/ Probabilities
/ Probability
/ Random variables
/ Statistical analysis
/ Statistics
2011
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Journal Article
Test Martingales, Bayes Factors and p-Values
2011
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Overview
A nonnegative martingale with initial value equal to one measures evidence against a probabilistic hypothesis. The inverse of its value at some stopping time can be interpreted as a Bayes factor. If we exaggerate the evidence by considering the largest value attained so far by such a martingale, the exaggeration will be limited, and there are systematic ways to eliminate it. The inverse of the exaggerated value at some stopping time can be interpreted as a p-value. We give a simple characterization of all increasing functions that eliminate the exaggeration.
Publisher
Institute of Mathematical Statistics,The Institute of Mathematical Statistics
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