Bayesian Modeling and Computation in Python
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.
Dezember 2021, ca. 398 Seiten, Chapman & Hall/CRC Texts in Statistical Science, Englisch
Taylor and Francis
978-0-367-89436-8
Taylor and Francis
978-0-367-89436-8
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.
Dezember 2021, ca. 398 Seiten, Chapman & Hall/CRC Texts in Statistical Science, Englisch
Taylor and Francis
978-0-367-89436-8
Taylor and Francis
978-0-367-89436-8
Weitere Titel der Reihe: Chapman & Hall/CRC Texts in Statistical Science
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