Lecture 7: Bayesian Linear Regression

Class 7: Example Bayesian Linear Model (Lecture 3a Example, Part 1; Bayesian Psychometric Mod F2024)Подробнее

Class 7: Introduction to MCMC and Stan (Lecture 3a, Part 3; Bayesian Psychometric Models F2024)Подробнее

Lecture 7: EB (example) and Bayesian Linear Regression (Part 1)Подробнее

20240508 三 在職 Bayesian Data Analysis LinearRegression 7Подробнее

Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest ExplanationПодробнее

Bayesian Psychometric Models, Lecture 4h and 5; December 7, 2022 (U of Iowa)Подробнее

Bayesian Psychometric Models, Lecture 3c, Part 2 October 7, 2022 (U of Iowa)Подробнее

Bayesian Psychometric Models, Lecture 2, Part 2; September 7, 2022 (U of Iowa)Подробнее

Bayesian Series - Alzheimer`s Disease-Lecture 7 -Fixed Effect Model Bayesian Data BlockПодробнее

STAN- Lecture 7: How to fill the Parameters block in rstanПодробнее

Time Series, last year lecture 7 - Multivariate Linear Regression (08.03.22)Подробнее

Bayesian ML (2021). Lecture 7: Approximate Bayesian InferenceПодробнее

Bayesian ML (2021). Lecture 2: Conjugate Distributions. Bayesian Linear RegressionПодробнее

Harvard University--CS-181--lecture 7. Machine learningПодробнее

Experimental Design Lecture 7 - Bayesian analysis of covariance (ANCOVA)Подробнее

ATSA21 Lecture 6: Univariate state-space modelsПодробнее

ATSA21 Lecture 10: Dynamic linear models (DLMs)Подробнее

Lecture 7: Linear Regresion III: Quantile RegressionПодробнее

ATSA21 Lecture 7: Multivariate State-Space modelsПодробнее