Bayesian Modeling and Computation in Python

ISBN-13: 9780367894368 / Angielski / Twarda / 2021 / 398 str.

Junpeng Lao

Opis

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory.

Spis treści

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