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Introduction to Probabilistic Programming in R

Introduction to Probabilistic Programming in R
Key Points
Glossary
Learner Profiles
- Reference

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EPISODES

Summary and Setup

1. Short introduction to Bayesian statistics

2. Stan

3. Markov chain Monte Carlo

4. Hierarchical models

5. Model comparison

6. Gaussian processes

7. Survival Analysis

8. Stan extensions

9. Exercises

Key Points
Glossary
Learner Profiles
Reference

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