John K. Kruschke (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "John K. Kruschke" in English language version.

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20doi.org

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16nih.gov

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7semanticscholar.org

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2indiana.edu

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1nasonline.org

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doi.org

Kruschke, John K. (1992). "ALCOVE: An exemplar-based connectionist model of category learning". Psychological Review. 99 (1): 22–44. doi:10.1037/0033-295X.99.1.22. PMID 1546117.
Kruschke, John K.; Liddell, Torrin M. (2018). "The Bayesian new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective". Psychonomic Bulletin & Review. 25 (1): 178–206. doi:10.3758/s13423-016-1221-4. PMID 28176294. S2CID 4523799.
Kruschke, John K. (2021). "Bayesian analysis reporting guidelines". Nature Human Behaviour. 5 (10): 1282–1291. doi:10.1038/s41562-021-01177-7. PMC 8526359. PMID 34400814.
Kruschke, John K. (2018). "Rejecting or Accepting Parameter Values in Bayesian Estimation" (PDF). Advances in Methods and Practices in Psychological Science. 1 (2): 270–280. doi:10.1177/2515245918771304. S2CID 125788648.
Kruschke, John K.; Liddell, Torrin M. (2018). "Bayesian data analysis for newcomers". Psychonomic Bulletin & Review. 25 (1): 155–177. doi:10.3758/s13423-017-1272-1. PMID 28405907. S2CID 4117798.
Liddell, Torrin M; Kruschke, John K. (2018). "Analyzing ordinal data with metric models: What could possibly go wrong?" (PDF). Journal of Experimental Social Psychology. 79: 328–348. doi:10.1016/j.jesp.2018.08.009. S2CID 149652068.
Kruschke, John K.; J. R. Movellan, J. R. Movellan (1991). "Benefits of Gain: Speeded learning and minimal hidden layers in back-propagation networks" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 21: 273–280. doi:10.1109/21.101159.
Nosofsky, R. M. (1986). "Attention, similarity, and the identification-categorization". Journal of Experimental Psychology. 115 (1): 39–57. doi:10.1037/0096-3445.115.1.39. PMID 2937873.
Kruschke, John K.; Johansen, M. K. (1999). "A model of probabilistic category learning". Journal of Experimental Psychology: Learning, Memory, and Cognition. 25 (5): 1083–1119. doi:10.1037/0278-7393.25.5.1083. PMID 10505339.
Kruschke, John K. (1996). "Dimensional relevance shifts in category learning". Connection Science. 8 (2): 201–223. doi:10.1080/095400996116893.
Medin, D. L.; Edelson, S. M. (1988). "Problem structure and the use of base-rate information from experience". Journal of Experimental Psychology: General. 117 (1): 68–85. doi:10.1037/0096-3445.117.1.68. PMID 2966231.
Kruschke, John K. (1996). "Base rates in category learning". Journal of Experimental Psychology: Learning, Memory, and Cognition. 22 (1): 3–26. doi:10.1037/0278-7393.22.1.3. PMID 8648289.
Kruschke, John K. (2001). "The inverse base rate effect is not explained by eliminative inference". Journal of Experimental Psychology: Learning, Memory, and Cognition. 27 (6): 1385–1400. doi:10.1037/0278-7393.27.6.1385. PMID 11713874.
Kruschke, John K. (2009). "Highlighting: A canonical experiment". In Ross, Brian (ed.). The Psychology of Learning and Motivation, Volume 51 (PDF). Vol. 51. Academic Press. pp. 153–185. doi:10.1016/S0079-7421(09)51005-5.
Erickson, M. A.; Kruschke, John K. (1998). "Rules and exemplars in category learning". Journal of Experimental Psychology: General. 127 (2): 107–140. doi:10.1037/0096-3445.127.2.107. PMID 9622910.
Erickson, M. A.; Kruschke, John K. (2002). "Rule-based extrapolation in perceptual categorization". Psychonomic Bulletin & Review. 9 (1): 160–168. doi:10.3758/BF03196273. PMID 12026949. S2CID 2388327.
Denton, S. E.; Kruschke, John K.; Erickson, M. A. (2008). "Rule-based extrapolation: A continuing challenge for exemplar models". Psychonomic Bulletin & Review. 15 (4): 780–786. doi:10.3758/PBR.15.4.780. PMID 18792504. S2CID 559864.
Kalish, M. L.; Lewandowsky, S. (2004). "Population of Linear Experts: Knowledge Partitioning and Function Learning". Psychological Review. 111 (4): 1072–1099. doi:10.1037/0033-295X.111.4.1072. PMID 15482074.
Kruschke, John K. (2006). "Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting". Psychological Review. 113 (4): 677–699. doi:10.1037/0033-295X.113.4.677. PMID 17014300.
Kruschke, John K. (2008). "Bayesian approaches to associative learning: From passive to active learning". Learning & Behavior. 36 (3): 210–226. doi:10.3758/LB.36.3.210. PMID 18683466. S2CID 16668044.

indiana.edu

vpfaa.indiana.edu

"Provost Professor Award". Office of the Vice Provost for Faculty & Academic Affairs. Retrieved 2022-05-27.
"Office of the Vice Provost for Faculty and Academic Affairs: Trustees Teaching Award".

iu.edu

jkkweb.sitehost.iu.edu

Kruschke, John K. (2018). "Rejecting or Accepting Parameter Values in Bayesian Estimation" (PDF). Advances in Methods and Practices in Psychological Science. 1 (2): 270–280. doi:10.1177/2515245918771304. S2CID 125788648.
Kruschke, John K. (2011). "Models of attentional learning". In Pothos, E. M.; Wills, A. J. (eds.). Formal approaches to categorization (PDF). Cambridge University Press. pp. 120–152. ISBN 9781139493970.
Kruschke, John K. (1989). "Distributed bottlenecks for improved generalization in back-propagation networks" (PDF). International Journal of Neural Networks Research and Applications. 1: 187–193.
Kruschke, John K.; J. R. Movellan, J. R. Movellan (1991). "Benefits of Gain: Speeded learning and minimal hidden layers in back-propagation networks" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 21: 273–280. doi:10.1109/21.101159.
Kruschke, John K. (2009). "Highlighting: A canonical experiment". In Ross, Brian (ed.). The Psychology of Learning and Motivation, Volume 51 (PDF). Vol. 51. Academic Press. pp. 153–185. doi:10.1016/S0079-7421(09)51005-5.

news.iu.edu

Hinnefeld, Steve (2018-03-19). "IU Bloomington announces Sonneborn Award recipient, Provost Professors". News at IU. Retrieved 2021-10-01.

scholarworks.iu.edu

Liddell, Torrin M; Kruschke, John K. (2018). "Analyzing ordinal data with metric models: What could possibly go wrong?" (PDF). Journal of Experimental Social Psychology. 79: 328–348. doi:10.1016/j.jesp.2018.08.009. S2CID 149652068.

nasonline.org

"Troland Research Awards". National Academy of Sciences. Retrieved 22 January 2022.

nih.gov

pubmed.ncbi.nlm.nih.gov

Kruschke, John K. (1992). "ALCOVE: An exemplar-based connectionist model of category learning". Psychological Review. 99 (1): 22–44. doi:10.1037/0033-295X.99.1.22. PMID 1546117.
Kruschke, John K.; Liddell, Torrin M. (2018). "The Bayesian new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective". Psychonomic Bulletin & Review. 25 (1): 178–206. doi:10.3758/s13423-016-1221-4. PMID 28176294. S2CID 4523799.
Kruschke, John K. (2021). "Bayesian analysis reporting guidelines". Nature Human Behaviour. 5 (10): 1282–1291. doi:10.1038/s41562-021-01177-7. PMC 8526359. PMID 34400814.
Kruschke, John K.; Liddell, Torrin M. (2018). "Bayesian data analysis for newcomers". Psychonomic Bulletin & Review. 25 (1): 155–177. doi:10.3758/s13423-017-1272-1. PMID 28405907. S2CID 4117798.
Nosofsky, R. M. (1986). "Attention, similarity, and the identification-categorization". Journal of Experimental Psychology. 115 (1): 39–57. doi:10.1037/0096-3445.115.1.39. PMID 2937873.
Kruschke, John K.; Johansen, M. K. (1999). "A model of probabilistic category learning". Journal of Experimental Psychology: Learning, Memory, and Cognition. 25 (5): 1083–1119. doi:10.1037/0278-7393.25.5.1083. PMID 10505339.
Medin, D. L.; Edelson, S. M. (1988). "Problem structure and the use of base-rate information from experience". Journal of Experimental Psychology: General. 117 (1): 68–85. doi:10.1037/0096-3445.117.1.68. PMID 2966231.
Kruschke, John K. (1996). "Base rates in category learning". Journal of Experimental Psychology: Learning, Memory, and Cognition. 22 (1): 3–26. doi:10.1037/0278-7393.22.1.3. PMID 8648289.
Kruschke, John K. (2001). "The inverse base rate effect is not explained by eliminative inference". Journal of Experimental Psychology: Learning, Memory, and Cognition. 27 (6): 1385–1400. doi:10.1037/0278-7393.27.6.1385. PMID 11713874.
Erickson, M. A.; Kruschke, John K. (1998). "Rules and exemplars in category learning". Journal of Experimental Psychology: General. 127 (2): 107–140. doi:10.1037/0096-3445.127.2.107. PMID 9622910.
Erickson, M. A.; Kruschke, John K. (2002). "Rule-based extrapolation in perceptual categorization". Psychonomic Bulletin & Review. 9 (1): 160–168. doi:10.3758/BF03196273. PMID 12026949. S2CID 2388327.
Denton, S. E.; Kruschke, John K.; Erickson, M. A. (2008). "Rule-based extrapolation: A continuing challenge for exemplar models". Psychonomic Bulletin & Review. 15 (4): 780–786. doi:10.3758/PBR.15.4.780. PMID 18792504. S2CID 559864.
Kalish, M. L.; Lewandowsky, S. (2004). "Population of Linear Experts: Knowledge Partitioning and Function Learning". Psychological Review. 111 (4): 1072–1099. doi:10.1037/0033-295X.111.4.1072. PMID 15482074.
Kruschke, John K. (2006). "Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting". Psychological Review. 113 (4): 677–699. doi:10.1037/0033-295X.113.4.677. PMID 17014300.
Kruschke, John K. (2008). "Bayesian approaches to associative learning: From passive to active learning". Learning & Behavior. 36 (3): 210–226. doi:10.3758/LB.36.3.210. PMID 18683466. S2CID 16668044.

ncbi.nlm.nih.gov

Kruschke, John K. (2021). "Bayesian analysis reporting guidelines". Nature Human Behaviour. 5 (10): 1282–1291. doi:10.1038/s41562-021-01177-7. PMC 8526359. PMID 34400814.

salk.edu

papers.cnl.salk.edu

Touretzky, D; Hinton, GE; Sejnowski, T, eds. (1989). Proceedings of the 1988 Connectionist Models Summer School (PDF). Morgan Kaufmann. ISBN 978-9999081214.

semanticscholar.org

api.semanticscholar.org

Kruschke, John K.; Liddell, Torrin M. (2018). "The Bayesian new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective". Psychonomic Bulletin & Review. 25 (1): 178–206. doi:10.3758/s13423-016-1221-4. PMID 28176294. S2CID 4523799.
Kruschke, John K. (2018). "Rejecting or Accepting Parameter Values in Bayesian Estimation" (PDF). Advances in Methods and Practices in Psychological Science. 1 (2): 270–280. doi:10.1177/2515245918771304. S2CID 125788648.
Kruschke, John K.; Liddell, Torrin M. (2018). "Bayesian data analysis for newcomers". Psychonomic Bulletin & Review. 25 (1): 155–177. doi:10.3758/s13423-017-1272-1. PMID 28405907. S2CID 4117798.
Liddell, Torrin M; Kruschke, John K. (2018). "Analyzing ordinal data with metric models: What could possibly go wrong?" (PDF). Journal of Experimental Social Psychology. 79: 328–348. doi:10.1016/j.jesp.2018.08.009. S2CID 149652068.
Erickson, M. A.; Kruschke, John K. (2002). "Rule-based extrapolation in perceptual categorization". Psychonomic Bulletin & Review. 9 (1): 160–168. doi:10.3758/BF03196273. PMID 12026949. S2CID 2388327.
Denton, S. E.; Kruschke, John K.; Erickson, M. A. (2008). "Rule-based extrapolation: A continuing challenge for exemplar models". Psychonomic Bulletin & Review. 15 (4): 780–786. doi:10.3758/PBR.15.4.780. PMID 18792504. S2CID 559864.
Kruschke, John K. (2008). "Bayesian approaches to associative learning: From passive to active learning". Learning & Behavior. 36 (3): 210–226. doi:10.3758/LB.36.3.210. PMID 18683466. S2CID 16668044.