Topic	Replies	Views	Activity
Are stacking weights “leaking” information across folds? Modeling loo , cross-validation , model-comparison	7	319	February 10, 2026
Recent paper: Distributional bias compromises leave-one-out cross-validation Modeling loo , cross-validation , model-comparison	1	195	December 15, 2025
Model comparison for multiple imputation with brm_multiple Modeling loo , cross-validation , model-comparison , brms , missing-data	1	247	September 20, 2024
Out-of-sample cross validation for response variable with measurement error General cross-validation	6	218	September 12, 2024
Stacked elpd_loo estimation Modeling performance , loo , rstanarm , cross-validation	4	272	April 26, 2024
Implementation of model stacking using exact leave-one-out cross-validation General techniques , loo , validation , cross-validation	5	545	April 3, 2024
Using `loo` for clustered data General loo , validation , cross-validation	1	595	September 12, 2022
Is it possible to add a CV fold-dependent data-preprocessing step in `loo::kfold()` or the corresponding 'brms' method? Interfaces loo , r , cross-validation , brms	2	641	August 4, 2022
Marginal predictions and cross-validation with latent variable model Modeling loo , ecology , marginal-likelihood , cross-validation	17	2391	April 27, 2022
K Fold Cross Validation with Logistic Regression Model Modeling cross-validation , logistic-regression	4	3676	April 12, 2022
Multiple attemps to run k-fold cross-validation fail with brms brms fitting-issues , cmdstanr , cross-validation , brms	0	868	December 14, 2021
If elpd_diff/se_diff > \|2\|, is this noteworthy? brms techniques , loo , cross-validation	20	4822	February 8, 2021
Arviz.reloo: am I doing it right? General loo , cmdstanpy , cross-validation , arviz	2	1399	February 25, 2021
How to speed up GLMM fitting when drawing predictions for a hold out data set? Modeling mixed-model , cross-validation	2	551	February 8, 2021
New reduce_sum makes cross-validation simple; should we standardise? General cross-validation	0	728	April 15, 2020

cross-validation