Default Bayes Factors for Model Selection in Regression
By Jeffrey N. Rouder, Richard D. Morey. Multivariate Behavioral Research, 2012
455 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/48d5a02c2096671d39e997d41ba8e8c95170e230
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
- D. Quintana
- Donald R. Williams
- Andrew F. Jarosz
- Jennifer Wiley
In Computer Networks and Communications
- D. Quintana
- Donald R. Williams
- Andrew F. Jarosz
- Jennifer Wiley
- Eric-Jan Wagenmakers
- Richard D. Morey
- Jeffrey N. Rouder
- Morten Moshagen
In Statistics and Probability
- Eric-Jan Wagenmakers
- Andrew F. Jarosz
- Jennifer Wiley
- Richard D. Morey
- Jeffrey N. Rouder
- Alexander Ly
- Josine Verhagen
- D. Quintana
Citations in the corpus
- Bayesian inference for psychology. Part II: Example applications with JASP (2017, methodology): “In addition, the preregistration form indicated that the Bayes factor of interest is the default one-sided t-test as specified in Rouder et al. (2009) and Wetzels et al. (2009). The two-sided version of this test was originally proposed by Jeffreys (1961), and it involves a comparison of two hypothe”
- Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP (2018, methodology): “For the Bayesian ANCOVA [38], a model including intervention group and religious affiliation will be compared against the null model, which only contains religious affiliation (See Table 1 for included models).”
- Bayesian Analysis of Factorial Designs (2017, background): “Rouder and Morey (2012) recommend researchers report Bayes factors as evidence.”
- The need for Bayesian hypothesis testing in psychological science (2017, background): “…discussion of Bayesian hypothesis testing is beyond the scope of this chapter, but relevant details can be found in Rouder, Speckman, Sun, Morey, and Iverson (2009), Rouder, Morey, Speckman, and Province (2012), Rouder and Morey (2012), Wetzels and Wagenmakers (2012), Wetzels et al. (2011).”
- Indices of Effect Existence and Significance in the Bayesian Framework (2019, background): “In other words, these indices are not able to reflect the amount of evidence in favor of the null hypothesis (Rouder et al., 2009; Rouder and Morey, 2012).”
- JASP: Graphical Statistical Software for Common Statistical Designs (2019, methodology): “The Bayesian ANOVA, ANCOVA, and linear regression are based on the work of Liang et al. (2008, see also Rouder and Morey 2012; Rouder et al. 2012; Wetzels et al. 2012).”
- Default Bayes factors for ANOVA designs (2012, background): “Additional discussion is provided in the Conclusion as well as in Morey et al. (in press) and Rouder & Morey (2012).”
- Who lies? A large-scale reanalysis linking basic personality traits to unethical decision making (2018, background): “…priors for linear regression models (i.e., the JeffreysZellner-Siow prior; Liang, Paulo, Molina, Clyde & Berger, 2008) that have desirable theoretical properties (e.g., scale invariance and consistency) and have become the standard in psychology for computing Bayes factors (Rouder & Morey, 2012).”
- What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors (2014, methodology): “…a much better idea of the evidence for and against one's hypotheses than does the p-value, in recent years several mathematical psychologists and statisticians have worked on developing better methods for calculating Bayes factors (Liang et al., 2008; Rouder & Morey, 2012; Rouder et al., 2012).”