Bayesian modeling and computation in Python. (2021)

• Record Type: Book
• Further Information: Note: Osvaldo A. Martin, Ravin Kumar, Junpeng Lao.
• Authors: Martin, Osvaldo; Kumar, Ravin; Lao, Junpeng
• Contents: Foreword Preface Symbols Chapter 1 Bayesian Inference Chapter 2 Exploratory Analysis of Bayesian Models Chapter 3 Linear Models and Probabilistic Programming Languages Chapter 4 Extending Linear Models Chapter 5 Splines Chapter 6 Time Series Chapter 7 Bayesian Additive Regression Trees Chapter 8 Approximate Bayesian Computation Chapter 9 End to End Bayesian Workflows Chapter 10 Probabilistic Programming Languages Chapter 11 Appendiceal Topics Glossary Bibliography Index
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 519.542; Bayesian statistical decision theory; Python (Computer program language); Mathematical statistics
• Languages: English
• ISBNs: 9781000520071; 9781000520040; 9781003019169
• Related ISBNs: 9780367894368
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.