Bayesian Methods in Statistics
A Comprehensive Guide to Bayesian Inference, Models, and Techniques
Created by Sage Publishing Limited, Mel Slater
Explore the world of Bayesian statistics by learning how to apply probability theory and inference to real data. Gain practical experience building and interpreting statistical models using R and Stan. Move from foundational concepts to advanced modeling techniques with hands-on guidance.
Sage Publishing | Jun 2026 | 272 min
What You Will Learn
You will start by revisiting core probability concepts, then gradually move into Bayesian inference and modeling. Through practical coding exercises and real-world examples, you will learn how to use R and Stan to implement Bayesian techniques and interpret the results with confidence.
Key Features
- Master Bayesian inference to draw meaningful conclusions from data
- Build and interpret statistical models using R and Stan in practical scenarios
- Apply Bayesian methods to real-world problems and improve model accuracy
Target Audience
Perfect for statisticians, data scientists, and researchers who already understand basic statistics and want to deepen their skills. If you are comfortable with data analysis and eager to apply Bayesian methods to your work, you will find clear explanations and practical tools to help you succeed.
