Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover

Buch 123 von 139: Chapman & Hall/CRC Texts in Statistical Science

Lao, Junpeng; Martin, Osvaldo A.; Kumar, Ravin

 
9780367894368: Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science)
Hardcover
ISBN 10: 036789436X ISBN 13: 9780367894368
Verlag: Chapman and Hall/CRC, 2022

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Osvaldo A. Martin is a Researcher at IMASL-CONICET in Argentina and the Department of Computer Science from Aalto University in Finland. He has a PhD in biophysics and structural bioinformatics. Over the years he has become increasingly interested in data analysis problems with a Bayesian flavor. He is especially motivated by the development and implementation of software tools for Bayesian statistics and probabilistic modeling.

Ravin Kumar is a Data Scientist at Google and previously worked at SpaceX and sweetgreen among other companies. He has an M.S in Manufacturing Engineering and a B.S in Mechanical Engineering. He found Bayesian statistics to be an excellent tool for modeling organizations and informing strategy. This interest in flexible statistical modeling led to a warm welcoming open source community which he is honored to be a member of now.

Junpeng Lao is a Data Scientist at Google. Prior to that he did his PhD and subsequently worked as a postdoc in Cognitive Neuroscience. He developed a fondness for Bayesian Statistics and generative modeling after working primarily with Bootstrapping and Permutation during his academic life.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
036789436X
ISBN 13 
9780367894368
Einband
Tapa dura
Auflage
1
Anzahl der Seiten
422
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar