Simple relation between Bayesian order-restricted and point-null hypothesis tests
By Richard D. Morey, Eric-Jan Wagenmakers. 2014
84 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7f0a7539ec619b18e3483e9ffe5019333178966f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Eric-Jan Wagenmakers
- Josine Verhagen
- Alexander Ly
- Richard D. Morey
- Jeffrey N. Rouder
- Maarten Marsman
- D. Matzke
- Sacha Epskamp
In Statistics and Probability
- Eric-Jan Wagenmakers
- Alexander Ly
- Josine Verhagen
- Richard D. Morey
- Jeffrey N. Rouder
- Maarten Marsman
- D. Matzke
- Quentin F. Gronau
Citations in the corpus
- JASP: Graphical Statistical Software for Common Statistical Designs (2019, background): “…they prefer to obtain Bayes factors that quantify evidence in favor of the alternative hypothesis (BF 10 ) or Bayes factors that quantify evidence in favor of the null hypothesis (BF 01 ); finally, users can choose to define one-sided alternatives (Morey and Rouder 2011; Morey and Wagenmakers 2014).”
- Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology (2016, methodology): “6, for the Stulp et al. (2013) data the one-sided Jeffreys’s exact correlation Bayes 2 factor Eq.”