Bayesian hypothesis testing for psychologists: a tutorial on the Savage-Dickey method.

By Eric-Jan Wagenmakers, Thomas Lodewyckx, Himanshu Kuriyal, Raoul P. P. P. Grasman. Cognitive Psychology, 2010

691 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0d354b899758fca6167d383019ff966c5988fdad

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Citations in the corpus

Bayesian Inference for Kendall’s Rank Correlation Coefficient (2018, methodology): “Next, Bayes factors can be computed as the ratio of the prior and posterior ordinate at the point under test (i.e., the Savage-Dickey density ratio, Dickey and Lientz 1970; Wagenmakers et al. 2010).”
Transitive in Our Preferences, But Transitive in Different Ways: An Analysis of Choice Variability (2014, methodology): “…very difficult to compute in general, Klugkist and Hoijtink (2007) have presented a specialized procedure for computing them for inequality constrained models, such as those constructed by Myung et al. to represent decision making axioms (see also Wagenmakers et al., 2010, for a related approach).”
Bayesian benefits with JASP (2017, positive): “Both regularities can be clarified using the Savage – Dickey density ratio method , a useful shortcut that allows the Bayes factor to be easily computed and visualized (Dickey & Lientz, 1970; Wagenmakers, Lodewyckx, Kuriyal, & Grasman, 2010).”
Using MCMC chain outputs to efficiently estimate Bayes factors (2011, neutral): “Wagenmakers et al. (2010) suggest logspline density estimation (Stone, Hansen, Kooperberg, & Truong, 1997).”
Indices of Effect Existence and Significance in the Bayesian Framework (2019, methodology): “The BF was computed as a Savage-Dickey density ratio, which is also an approximation of a Bayes factor comparing the marginal likelihoods of the model against a model in which the tested parameter has been restricted to the point-null (Wagenmakers et al., 2010).”
Safe models for risky decisions (2017, methodology): “We based our computation of the Bayes factors for both models on the Savage-Dickey density ratio (Dickey & Lientz, 1970; Wagenmakers et al., 2010).”
bridgesampling: An R Package for Estimating Normalizing Constants (2017, neutral): “For instance, when the models are nested it might be faster and easier to use the Savage-Dickey density ratio (Dickey and Lientz 1970; Wagenmakers et al. 2010).”