Bayesian Evaluation of Informative Hypotheses

1. An Introduction to Bayesian Evaluation of Informative Hypotheses
Herbert Hoijtink, Irene Klugkist, Paul A. Boelen

Part I. Bayesian Evaluation of Informative Hypotheses

2. Illustrative Psychological Data and Hypotheses for Bayesian Inequality Constrained Analysis of Variance
Paul A. Boelen, Herbert Hoijtink

3. Bayesian Estimation for Inequality Constrained Analysis of Variance
Irene Klugkist, Joris Mulder

4. Encompassing Prior Based Model Selection for Inequality Constrained Analysis of Variance
Irene Klugkist

5. An Evaluation of Bayesian Inequality Constrained Analysis of Variance
Herbert Hoijtink, Rafaele Huntjens, Albert Reijntjes, Rebecca Kuiper, Paul A. Boelen

Part II. A Further Study of Prior Distributions and the Bayes Factor

6. Bayes Factors Based on Test Statistics Under Order Restrictions
David Rossell, Veerabhadran Baladandayuthapani, Valen E. Johnson

7. Objective Bayes Factors for Informative Hypotheses: “Completing” the Informative Hypothesis and “Splitting” the Bayes Factors
Luis Raúl Pericchi Guerra, Guimei Liu, David Torres Núñez

8. The Bayes Factor Versus Other Model Selection Criteria for the Selection of Constrained Models
Ming-Hui Chen, Sungduk Kim

9. Bayesian Versus Frequentist Inference
Eric-Jan Wagenmakers, Michael Lee, Tom Lodewyckx, Geoffrey J. Iverson

Part III. Beyond Analysis of Variance

10. Inequality Constrained Analysis of Covariance
Irene Klugkist, Floryt Wesel, Sonja Well, Annemarie Kolk

11. Inequality Constrained Latent Class Models
Herbert Hoijtink, Jan Boom

12. Inequality Constrained Contingency Table Analysis
Olav Laudy

13. Inequality Constrained Multilevel Models
Bernet Sekasanvu Kato, Carel F.W. Peeters

Part IV. Evaluations

14. A Psychologist’s View on Bayesian Evaluation of Informative Hypotheses
Marleen Rijkeboer, Marcel Hout

15. A Statistician’s View on Bayesian Evaluation of Informative Hypotheses
Jay I. Myung, George Karabatsos, Geoffrey J. Iverson

16. A Philosopher’s View on Bayesian Evaluation of Informative Hypotheses
Jan-Willem Romeijn, Rens Schoot

Keywords: Statistics, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law