Title: Topic Discussion: Bayesian Analysis of Informative Hypotheses
Abstract: Informal discussion of the work of Dr. Rens van de Schoot from Utrecht University, who was awarded the 2014 Distinguished Dissertation Award from the American Psychological Association Division 5 (Evaluation, Measurement and Statistics).
Articles to be Discussed:
van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf , J.B., Neyer, F.J. & van Aken, M.A.G. (2013). A Gentle Introduction to Bayesian Analysis: Applications to Research in Child Development. Child Development.
van de Schoot, R., Hoijtink, H., & Romeijn, J-W (2011). Moving beyond traditional null hypothesis testing: Evaluating expectations directly. Frontiers in Psychology, 2:24. doi: 10.3389/fpsyg.2011.00024.
van de Schoot, R., Hoijtink, H.J.A., Romeijn, J.W. & Brugman, D. (2012). A Prior Predictive Loss Function for the Evaluation of Inequality Constrained Hypotheses. Journal of Mathematical Psychology, 56, 13-23.
Follow up Readings:
Efron, B. (2005). Bayesians, frequentists and scientists. Journal of the American Statistical Association, 100, 1-5.
McGrayne, S. B. (2011). The theory that would not die: How Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy. New Haven, CT: Yale University Press.
Efron. B. (2013). Bayes' theorem in the 21st century. Science, 340, 117-1178.
van Hulst, R. (2013). A statistically significant future for Bayes' rule. Science, 341, 343.
Fraser, D. A. S. (2013). Bayes' confidence. Science, 341, 1452.
