The theory that would not die
By A. Dale. 2012
76 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/54375eadceff236024e1337e0a74561ef25b1dbd
How researchers see this paper
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- Zoltan Dienes
- John K. Kruschke
- Eric-Jan Wagenmakers
- Felix D. Schönbrodt
- Nick C. Ellis
- Jamie I. D. Campbell
- Alexander Etz
- Patrick Rebuschat
Citations in the corpus
- Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (2014, background): “2 But Bayes himself probably was not fully aware of these ramifications, andmany historians argue that it is Bayes’ successor, Pierre-Simon Laplace (1749-1827), whose name should really label this type of analysis, because it was Laplace who independently rediscovered and extensively developed the m”
- Using Bayes to get the most out of non-significant results (2014, background): “5Bayes factors were independently discovered at about the same time by Harold Jeffreys et al. (1939/1961) and Alan Turing, the latter in order to help decode German messages during World War II (McGrayne, 2012). for the null over the alternative hypothesis).”
- The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective (2017, unknown): “…to Bayesian The literature across many sciences has articles and books that note and promote a shift away from frequentist to Bayesian methods (e.g., Allenby, Bakken, & Rossi, 2004; Beaumont & Rannala, 2004; Brooks, 2003; Gregory, 2001; Howson & Urbach, 2006; Lindley, 1975; McGrayne, 2011, etc.).”