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

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

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2022
Idioma
Inglés
ISBN 10 
036789436X
ISBN 13 
9780367894368
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
422
Contacto del fabricante
no disponible
Persona responsable
no disponible