John K. Kruschke
John K. Kruschke
Provost Professor, Indiana University
Verified email at indiana.edu - Homepage
TitleCited byYear
ALCOVE: An exemplar-based connectionist model of category learning.
JK Kruschke
Psychological review 99 (1), 22, 1992
20221992
Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan
J Kruschke
Academic Press, 2015
19432015
Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan
JK Kruschke
Academic Press, 2015
1943*2015
Doing Bayesian data analysis, Second edition: A tutorial with R, JAGS, and Stan
J Kruschke
Academic Press, 2014
19432014
Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan
J Kruschke
Academic Press, 2014
19402014
Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan
J Kruschke
Academic Press, 2014
19402014
Doing Bayesian data analysis: A tutorial with R and BUGS
JK Kruschke
Academic Press, 2010
1940*2010
Bayesian estimation supersedes the t test.
JK Kruschke
Journal of Experimental Psychology: General 142 (2), 573-603, 2013
7342013
Rules and exemplars in category learning.
MA Erickson, JK Kruschke
Journal of Experimental Psychology: General 127 (2), 107, 1998
7311998
Combining exemplar-based category representations and connectionist learning rules.
RM Nosofsky, JK Kruschke, SC McKinley
Journal of Experimental Psychology: Learning, Memory, and Cognition 18 (2), 211, 1992
3791992
Toward a unified model of attention in associative learning
JK Kruschke
Journal of mathematical psychology 45 (6), 812-863, 2001
3302001
A model of probabilistic category learning.
JK Kruschke, MK Johansen
Journal of Experimental Psychology: Learning, Memory, and Cognition 25 (5), 1083, 1999
2841999
Bayesian assessment of null values via parameter estimation and model comparison
JK Kruschke
Perspectives on Psychological Science 6 (3), 299, 2011
2752011
The time has come: Bayesian methods for data analysis in the organizational sciences
JK Kruschke, H Aguinis, H Joo
Organizational Research Methods 15 (4), 722-752, 2012
2552012
What to believe: Bayesian methods for data analysis
JK Kruschke
Trends in cognitive sciences 14 (7), 293-300, 2010
2492010
The Bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective
JK Kruschke, TM Liddell
Psychonomic Bulletin & Review, 2016
2422016
Blocking and backward blocking involve learned inattention
JK Kruschke, NJ Blair
Psychonomic Bulletin & Review 7 (4), 636-645, 2000
2412000
Base rates in category learning.
JK Kruschke
Journal of Experimental Psychology: Learning, Memory, and Cognition 22 (1), 3, 1996
2311996
Attention in learning
JK Kruschke
Current Directions in Psychological Science 12 (5), 171-175, 2003
1942003
Eye gaze and individual differences consistent with learned attention in associative blocking and highlighting.
JK Kruschke, ES Kappenman, WP Hetrick
Journal of Experimental Psychology: Learning, Memory, and Cognition 31 (5), 830, 2005
1932005
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Articles 1–20