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Bayesian Modeling and Computation in Python

Part 0

Dedication
Foreword
Preface
Symbols

Part 1

1. Bayesian Inference
2. Exploratory Analysis of Bayesian Models
3. Linear Models and Probabilistic Programming Languages
4. Extending Linear Models
5. Splines
6. Time Series
7. Bayesian Additive Regression Trees
8. Approximate Bayesian Computation
9. End to End Bayesian Workflows
10. Probabilistic Programming Languages
11. Appendiceal Topics
12. Glossary
13. References

Part 2

Code 1: Bayesian Inference
Code 2: Exploratory Analysis of Bayesian Models
Code 3: Linear Models and Probabilistic Programming Languages
Code 4: Extending Linear Models
Code 5: Splines
Code 6: Time Series
Code 7: Bayesian Additive Regression Trees
Code 8: Approximate Bayesian Computation
Code 9: End to End Bayesian Workflows
Code 10: Probabilistic Programming Languages
Code 11: Appendiceal Topics

Part 3

Solutions 1: Bayesian Inference
Solutions 2: Exploratory Analysis of Bayesian models

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By Martin, Kumar, Lao

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