Calibrated Bayes

By Roderick J. A. Little. 2006

120 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/053bff737b7a5530546af87bb0f3f1dda253a11f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Sander Greenland
2. Julian J. Faraway
3. David Trafimow
4. Valentin Amrhein
5. P. Cummings
6. Thomas S. Richardson
7. James M. Robins
8. Tyler J. VanderWeele

Citations in the corpus

• Does data splitting improve prediction? (2013, background): “In Little (2006), a suggestion is made that the model estimation should be Bayesian but the model assessment and checking should be Frequentist.”
• Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication (2018, background): “As for what comes next, there is no substitute for accepting methodologic diversity (Good 1957; Cox 1978; Box 1980; Barnard 1996; Little 2006; Senn 2011; Efron and Hastie 2016; Crane 2017), with careful assessment of uncertainty as the core motivation for statistical practice (e.g., by discussing…”