
Bayesian Analysis with Python
A practical guide to probabilistic modeling
Publisher:Packt Publishing Limited
Paid access
|May 2024Table of Contents
- Thinking Probabilistically
- Programming Probabilistically
- Hierarchical Models
- Modeling with Lines
- Comparing Models
- Modeling with Bambi
- Mixture Models
- Gaussian Processes
- Bayesian Additive Regression Trees
- Inference Engines
- Where to Go Next
PDF ISBN: 978-1-80512-541-9
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing
Publication date: 2024
Language: English
Pages: 394
Related subjects:
BISAC subjects:
COM018000,
COM077000,
MAT029010
Thema subjects:
UNC,
GPH,
UFM,
PBTB
