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Bayesian Evaluation of Informative Hypotheses
Bayesian Versus Frequentist Inference
other
Author(s):
Eric-Jan Wagenmakers
,
Michael Lee
,
Tom Lodewyckx
,
Geoffrey J. Iverson
Publication date
(Print):
2008
Publisher:
Springer New York
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Procedural speed in criminal law
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Statistical methods in psychology journals: Guidelines and explanations.
Leland Wilkinson
(1999)
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Probability Theory
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G. Bretthorst
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Publication date (Print):
2008
Pages
: 181-207
DOI:
10.1007/978-0-387-09612-4_9
SO-VID:
3a4e29c5-67cf-47b3-ab3e-7600a44f135d
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Book chapters
pp. 1
An Introduction to Bayesian Evaluation of Informative Hypotheses
pp. 7
Illustrative Psychological Data and Hypotheses for Bayesian Inequality Constrained Analysis of Variance
pp. 27
Bayesian Estimation for Inequality Constrained Analysis of Variance
pp. 53
Encompassing Prior Based Model Selection for Inequality Constrained Analysis of Variance
pp. 85
An Evaluation of Bayesian Inequality Constrained Analysis of Variance
pp. 111
Bayes Factors Based on Test Statistics Under Order Restrictions
pp. 131
Objective Bayes Factors for Informative Hypotheses: “Completing” the Informative Hypothesis and “Splitting” the Bayes Factors
pp. 155
The Bayes Factor Versus Other Model Selection Criteria for the Selection of Constrained Models
pp. 181
Bayesian Versus Frequentist Inference
pp. 211
Inequality Constrained Analysis of Covariance
pp. 227
Inequality Constrained Latent Class Models
pp. 247
Inequality Constrained Contingency Table Analysis
pp. 273
Inequality Constrained Multilevel Models
pp. 299
A Psychologist’s View on Bayesian Evaluation of Informative Hypotheses
pp. 309
A Statistician’s View on Bayesian Evaluation of Informative Hypotheses
pp. 329
A Philosopher’s View on Bayesian Evaluation of Informative Hypotheses
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