Bayesian Regression Modeling with rstanarm

Go to class

Write Review

Free Online Course: Bayesian Regression Modeling with rstanarm provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Bayesian Regression Modeling with rstanarm is taught by Jake Thompson.

via DataCamp

4 hours worth of material

Self Paced

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Bayesian estimation offers a flexible alternative to modeling techniques where the inferences depend on p-values. In this course, you’ll learn how to estimate linear regression models using Bayesian methods and the rstanarm package. You’ll be introduced to prior distributions, posterior predictive model checking, and model comparisons within the Bayesian framework. You’ll also learn how to use your estimated model to make predictions for new data.

Syllabus

Introduction to Bayesian Linear Models
-A review of frequentist regression using lm(), an introduction to Bayesian regression using stan_glm(), and a comparison of the respective outputs.

Modifying a Bayesian Model
-Learn how to modify your Bayesian model including changing the number and length of chains, changing prior distributions, and adding predictors.

Assessing Model Fit
-In this chapter, we'll learn how to determine if our estimated model fits our data and how to compare competing models.

Presenting and Using a Bayesian Regression
-In this chapter, we'll learn how to use the estimated model to create visualizations of your model and make predictions for new data.

0, based on 0 Course votes at GetYourEducation

Start your review of Bayesian Regression Modeling with rstanarm

Add review ->

Language

English
Certificate
Certificate Available
Date of Start
30th July, 2022
Price
Free Trial Available
Provider
DataCamp
Taught By

Jake Thompson
Share this course