Bayesian Regression Modeling with rstanarm

Mathematics and Statistics

Short Description

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

Long Description

This course provides a comprehensive understanding of Bayesian estimation as a versatile alternative to modeling techniques reliant on p-values for inferences. Participants will gain proficiency in estimating linear regression models using Bayesian methods and the rstanarm package. The course covers essential topics such as prior distributions, posterior predictive model checking, and model comparisons within the Bayesian framework. Additionally, participants will learn how to effectively utilize their estimated models to make accurate predictions for new data.

Related Courses

Bayesian Regression Modeling with rstanarm

by DataCamp

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

Bayesian Modeling with RJAGS

by DataCamp

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

Bayesian Data Analysis in Python

by DataCamp

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world us...

Fundamentals of Bayesian Data Analysis in R

by DataCamp

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data...

Hyperparameter Tuning in Python

by DataCamp

Learn to tune hyperparameters in Python.

Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

Learn more