Bayesian modeling and computation in Python

Bayesian modeling and computation in Python

by Martin, Osvaldo

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Title Statements

  • Full title :Bayesian modeling and computation in Python / Osvaldo A. Martin, Ravin Kumar, Junpeng Lao.

Edition Statements

  • Publication Date:2021.
  • Edition:1st

Publication Statements

  • Publisher(s):Chapman & Hall/CRC
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:2021.

Notes

<p>Foreword</p><p>Preface</p><p>Symbols</p><p>Chapter 1 Bayesian Inference</p><p>Chapter 2 Exploratory Analysis of Bayesian Models</p><p>Chapter 3 Linear Models and Probabilistic Programming Languages</p><p>Chapter 4 Extending Linear Models</p><p>Chapter 5 Splines</p><p>Chapter 6 Time Series</p><p>Chapter 7 Bayesian Additive Regression Trees</p><p>Chapter 8 Approximate Bayesian Computation</p><p>Chapter 9 End to End Bayesian Workflows</p><p>Chapter 10 Probabilistic Programming Languages</p><p>Chapter 11 Appendiceal Topics</p><p>Glossary</p><p>Bibliography</p><p>Index</p>

The Physical Object

  • Description:1 online resource : : illustrations (black and white, and colour).

Edition Identifiers

  • ISBN:9781000520071, 1000520072, 9781000520040, 1000520048, 9781003019169, 1003019161
  • DOI:10.1201/9781003019169
  • oclc:on1295124735
  • Dewey Decimal:519.542

Subjects

Bayesian statistical decision theory Mathematical statistics Python (Computer program language) Python (Langage de programmation) Théorie de la décision bayésienne

Writers

Martin, Osvaldo Kumar, Ravin Lao, Junpeng

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