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Introduction to Probabilistic Programming in R

Introduction to Probabilistic Programming in R
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Introduction to Probabilistic Programming in R

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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. Stan extensions

8. Exercises

Key Points
Glossary
Learner Profiles
Reference

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Last updated on 2024-11-19 | Edit this page

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