Has any thoughts or experience on the suitability of using arviz.plot_bf() for a directional hypothesis. It works for a non-directional model eg H1 is not equal to a ref_value but I think it fails for a directional hypothesis say: H1 >ref_val. The arviz web site does not specify that it shouldn’t be used in the directional case. I think It fails because when obtaining the ordinate at the ref value ,(to apply the Savage Dickey method) the kde approximation at the ref_val is rounded at the truncated half distribution for a directional model eg a half normal or half Cauchy begining at the ref_val,representing the alternative model. Any help on clarifying the correct use of the arviz function?
Related Topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Arviz Bayes factor for a directional hypothesis | 0 | 151 | February 6, 2024 | |
| Bayesian P-Value Interpretation | 0 | 451 | July 27, 2022 | |
| General question about PPC and predictions | 17 | 187 | April 5, 2024 | |
| Help with computing Bayes Factors | 13 | 454 | July 19, 2022 | |
| Plot posterior predictive results scatterplot in specific format using arviz | 3 | 384 | July 11, 2023 |