Bayesians, Frequentists, and Scientists

By Bradley Efron. 2005

214 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a10550875f61598e6bddaf8fcea7b5bf8db204c5

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In Statistics and Probability

Citations in the corpus

A practical solution to the pervasive problems ofp values (2007, methodology): “The statistical world has always been dominated by two superpowers: the Bayesians and the frequentists (see, e.g., Bayarri & Berger, 2004; Berger, 2003; Christensen, 2005; R. T. Cox, 1946; Efron, 2005; Lindley & Phillips, 1976; Neyman, 1977).”
Bayesian Analysis of Factorial Designs (2017, background): “Interested readers are referred to Berger and Berry (1988), Edwards, Lindman, and Savage (1963), Efron (2005), Gelman, Shor, Bafumi, and Park (2007), Jaynes (2003), Kruschke (2011), and Wagenmakers (2007) among others.”
When did Bayesian inference become "Bayesian"? (2006, background): “The Birnbaum paper was based on a special American Statistical Association discussion meeting held in late 1961, and its discussants included Savage, Barnard, Box, Good, Lindley, Pratt, and Dempster.”
Statistical challenges in null model analysis (2012, background): “Bayesian approaches developed for genomics (Efron 2005) can be adapted to testing for species pairs in ecological analyses (Gotelli and Ulrich 2010).”
Calibrated Bayes (2006, background): “I believe our credibility as statisticians is undermined when we cannot agree on the fundamentals of our subject—as Efron (2005) noted: The physicists I talked to were really bothered by our 250-year old Bayesianfrequentist argument.”
Estimation Error and Portfolio Optimization: A Resampling Solution (2007, methodology): “ESTIMATION ERROR AND PORTFOLIO OPTIMIZATION 25 historical data as in Efron (2005) .”
Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co‐occurrence (2018, methodology): “We applied the empirical Bayes approach, which assumes independence of probabilities (Efron 2005), to control for the potentially large number of false positives that can emerge with the analysis of many species pairs (Gotelli and Ulrich 2010).”
A framework for evaluating the influence of climate, dispersal limitation, and biotic interactions using fossil pollen associations across the late Quaternary (2014, methodology): “Gotelli and Ulrich (2010) use an empirical Bayes approach (Efron 2005) to control for the potentially large number of false positives that can emerge with the analysis of many species pairs.”