STAN - Lecture 1: Parametric Bayesian Inference & Inference

Class 5: Introduction to MCMC and Stan (Lecture 3a, Part 1; Bayesian Psychometric Models F2024)Подробнее

Bayesian Psychometric Models, Lecture 4d, Part 1; November 18, 2022 (U of Iowa)Подробнее

Bayesian Psychometric Models, Example 3, Part 3; Lecture 3b, Part 1 September 28, 2022 (U of Iowa)Подробнее

STAN- Lecture 13 : Replication for Quadratic ModelПодробнее

STAN- Lecture 9: Run the Stan model created in rstanПодробнее

STAN- Lecture 4: Design Data Block for the rstanПодробнее

STAN - Lecture 1: Parametric Bayesian Inference & InferenceПодробнее

Bayesian Item Response Modeling in R with {brms} and StanПодробнее

StanCon 2020. Talk 9: Arman Oganisian. Bayesian Causal Effect Estimation with StanПодробнее

BayesCog Summer 2020 Lecture 08 - Intro to Stan (P2) and regression modelsПодробнее

BayesCog Summer 2020 Lecture 07 - Intro to Stan (P1) and implementing Binomial model in StanПодробнее

Bayesian Modeling with R and Stan (Reupload)Подробнее

Bayesian Analysis in Python: A Starter KitПодробнее

Basics of Bayesian inference and Stan, part 1 Jonah Gabry & Lauren KennedyПодробнее

Basics of Bayesian inference and Stan, part 2 Jonah Gabry & Lauren KennedyПодробнее

Should this Drug be Approved? A Bayesian’s Answer with Stan | SciPy 2018 | Corvellec & VamvourellisПодробнее

Michael Betancourt: Scalable Bayesian Inference with Hamiltonian Monte CarloПодробнее

Lecture 6: A Brief Introduction to Bayesian Modeling Using Stan (2017)Подробнее

Lecture 3: A Brief Introduction to Bayesian Modeling Using Stan (2017)Подробнее

Lecture 2: A Brief Introduction to Bayesian Modeling Using Stan (2017)Подробнее