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Indiana University Bloomington

John Kruschke

Dr. John Kruschke

Professor

 

kruschke [at] indiana.edu | personal website

office: PY 364 | (812)855-3192

lab: PY 243 | (812)855-8694

 

Science of moral judgment, Bayesian data analysis

Educational Background

  • 1990 - Ph.D., University of California at Berkeley
  • 1983 - B.A., University of California at Berkeley

Areas of Study

  • Cognitive Science

Research Topics

  • Science of moral judgment, Bayesian data analysis.

Research Summary:

Dr. Kruschke's research summary can be viewed at his Web site: http://www.indiana.edu/~kruschke/

Representative Publications

2012 - Kruschke, J. K. Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General. (doi: 10.1037/a0029146)

2012 - Kruschke, J. K. Locally Bayesian learning with applications to retrospective revaluation and highlighting. Psychological Review, 113(4), 677-699.

2010 - Kruschke, J. K.. What to believe: Bayesian Methods for Data Analysis. Trends in Cognitive Sciences, 14(7), 293-300. (doi:10.1016/j.tics.2010.05.001).

2006 - Kruschke, J. K. Locally Bayesian learning with applications to retrospective revaluation and highlighting. Psychological Review, 113(4), 677-699.

2004 - Kalish, M. L., Lewandowsky, S., and Kruschke, J. K.. Population of linear experts: Knowledge partitioning and function learning. Psychological Review, 111(4), 1072-1099.

1998 - Erickson, M. A. & Kruschke, J. K. Rules and exemplars in category learning Journal of Experimental Psychology: General, 127, 107-140.

1992 - Kruschke, J. K.. ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.

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