[Keynote] A Few of My Favorite Diagnostics (Aki Vehtari)

BDA 2019 Lecture 5.2 warm up, convergence diagnostics, R-hat, and effective sample sizeПодробнее

How many digits to report and how many iterations to runПодробнее

Practical pre-asymptotic diagnostic of Monte Carlo estimatesПодробнее

Uncertainty in Bayesian leave-one-out cross-validation based model comparisonПодробнее

BDA 2019 Lecture 12.1 Frequency evaluation, hypothesis testing, and variable selectionПодробнее

#29 Model Assessment, Non-Parametric Models, And Much More, with Aki VehtariПодробнее

Model assessment and selection - Aki VehtariПодробнее

BDA 2019 Lecture 10.1 Decision analysisПодробнее

BDA 2019 Lecture 11.2 Large sample theory and counter examplesПодробнее

BDA 2019 Lecture 4.1 numerical issues, Monte Carlo, how many simulation draws are needed, ...Подробнее

Tutorial: Model assessment, selection and inference after model selection - Aki VehtariПодробнее

BDA 2019 Lecture 9.2 model comparison and selectionПодробнее

On Bayesian Workflow - Aki VehtariПодробнее

Aki Vehtari: Model assessment, selection and averagingПодробнее

BDA 2019 Lecture 9.1 PSIS-LOO and K-fold cross-validationПодробнее

Aki Vehtari: "Computational probabilistic modeling"Подробнее

Integration over hyperparameters and estimation of predictive performance, Aki VehtariПодробнее

Aki Vehtari: On Bayesian WorkflowПодробнее