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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 Schedule

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

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

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