The Bayesian New Statistics: Two historical trends converge
By John K. Kruschke, Torrin M. Liddell. 2016
49 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a7865d2e26eb25e7a405c2932ae9157bea50936d
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In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- The Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women: A Systematic Review and Meta-Analysis (2020, unknown): “All meta-analyses were conducted within a Bayesian framework enabling the results to be interpreted more intuitively compared to a standard frequentist approach through use of subjective probabilities [44].”
- Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis (2016, methodology): “The interval [−0.01, 0.01] thus defines a region of practical equivalence (rope) (Kruschke and Liddell, 2015) for classifiers.”
- How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019, unknown): “At this point, it is important to mention that proponents of the Bayesian approach are not overly enthusiastic about the yes/no null hypothesis significance testing discussed in the present article, for good reasons (e.g., Cumming, 2014; Gigerenzer & Marewski, 2015; Kruschke & Liddell, 2018).”