J
John K. Kruschke
Researcher at Indiana University
Publications - 118
Citations - 18178
John K. Kruschke is an academic researcher from Indiana University. The author has contributed to research in topics: Concept learning & Bayesian probability. The author has an hindex of 42, co-authored 117 publications receiving 15558 citations. Previous affiliations of John K. Kruschke include University of California, Berkeley.
Papers
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Journal ArticleDOI
Bayesian data analysis.
TL;DR: A fatal flaw of NHST is reviewed and some benefits of Bayesian data analysis are introduced and illustrative examples of multiple comparisons in Bayesian analysis of variance and Bayesian approaches to statistical power are presented.
Journal ArticleDOI
ALCOVE: an exemplar-based connectionist model of category learning.
TL;DR: Alcove selectively attends to relevant stimulus dimensions, can account for a form of base-rate neglect, does not suffer catastrophic forgetting, and can exhibit 3-stage learning of high-frequency exceptions to rules, whereas such effects are not easily accounted for by models using other combinations of representation and learning method.
Journal ArticleDOI
Bayesian Estimation Supersedes the t Test
TL;DR: Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their Difference, and the normality of the data.
Book
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
TL;DR: Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples.
Journal ArticleDOI
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
TL;DR: Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples.