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John K. Kruschke
John K. Kruschke
Provost Professor, Indiana University
Verified email at indiana.edu - Homepage
Title
Cited by
Cited by
Year
Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan
JK Kruschke
Academic Press, 2015
3595*2015
ALCOVE: An exemplar-based connectionist model of category learning.
JK Kruschke
Psychological review 99 (1), 22, 1992
23511992
Bayesian estimation supersedes the t test.
JK Kruschke
Journal of Experimental Psychology: General 142 (2), 573-603, 2013
13302013
Rules and exemplars in category learning.
MA Erickson, JK Kruschke
Journal of Experimental Psychology: General 127 (2), 107, 1998
8151998
The Bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective
JK Kruschke, TM Liddell
Psychonomic Bulletin & Review, 2016
7882016
Bayesian assessment of null values via parameter estimation and model comparison
JK Kruschke
Perspectives on Psychological Science 6 (3), 299, 2011
4392011
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
4132012
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
4121992
Toward a unified model of attention in associative learning
JK Kruschke
Journal of mathematical psychology 45 (6), 812-863, 2001
3862001
What to believe: Bayesian methods for data analysis
JK Kruschke
Trends in cognitive sciences 14 (7), 293-300, 2010
3552010
Analyzing ordinal data with metric models: What could possibly go wrong?
TM Liddell, JK Kruschke
Journal of Experimental Social Psychology 79, 328-348, 2018
3372018
A model of probabilistic category learning.
JK Kruschke, MK Johansen
Journal of Experimental Psychology: Learning, Memory, and Cognition 25 (5), 1083, 1999
3131999
Rejecting or Accepting Parameter Values in Bayesian Estimation
JK Kruschke
Advances in Methods and Practices in Psychological Science, 2018
2882018
Bayesian data analysis for newcomers
JK Kruschke, TM Liddell
Psychonomic bulletin & review 25 (1), 155-177, 2018
2872018
Blocking and backward blocking involve learned inattention
JK Kruschke, NJ Blair
Psychonomic Bulletin & Review 7 (4), 636-645, 2000
2742000
Base rates in category learning.
JK Kruschke
Journal of Experimental Psychology: Learning, Memory, and Cognition 22 (1), 3, 1996
2521996
Bayesian data analysis
JK Kruschke
Wiley Interdisciplinary Reviews: Cognitive Science 1 (5), 658-676, 2010
2502010
Attention in learning
JK Kruschke
Current Directions in Psychological Science 12 (5), 171-175, 2003
2282003
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
2202005
Human category learning: Implications for backpropagation models
JK Kruschke
Connection Science 5 (1), 3-36, 1993
2101993
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