Bayesian Analysis in Python (2nd ed.) with NumPyro
Bayesian Analysis in Python (2nd ed.) with Numpyro
Bayesian Analysis in Python (2nd ed.) with NumPyro
Chapter 1. Thinking Probabilistically
Chapter 2. Programming Probabilistically
Chapter 3. Modeling with Linear Regressions
Chapter 4. Generalizing Linear Models
Chapter 5. Model Comparison
Chapter 6. Mixture Models
Chapter 7. Gaussian Processes
Chapter 8. Inferene Engines
Exercises
Chapter 1 Exercises
Chapter 2 Exercises
Chapter 3 Exercises
Chapter 4 Exercises
repository
open issue
Index
