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Bayesian Analysis with Python - Third Edition

A practical guide to probabilistic modeling
BuchKartoniert, Paperback
394 Seiten
Englisch
Packt Publishingerschienen am31.01.20243. Auflage
Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. This book uses PyMC to abstract all mathematical and computational details from this process, allowing readers to solve a range of data science problems.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR58,60
BuchGebunden
EUR75,10
E-BookEPUB0 - No protectionE-Book
EUR35,99

Produkt

KlappentextBayesian inference uses probability distributions and Bayes' theorem to build flexible models. This book uses PyMC to abstract all mathematical and computational details from this process, allowing readers to solve a range of data science problems.
Details
ISBN/GTIN978-1-80512-716-1
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2024
Erscheinungsdatum31.01.2024
Auflage3. Auflage
Seiten394 Seiten
SpracheEnglisch
MasseBreite 191 mm, Höhe 235 mm, Dicke 22 mm
Gewicht733 g
Artikel-Nr.13423240

Inhalt/Kritik

Inhaltsverzeichnis
Table of ContentsThinking ProbabilisticallyProgramming ProbabilisticallyHierarchical ModelsModeling with LinesComparing ModelsModeling with BambiMixture ModelsGaussian ProcessesBayesian Additive Regression TreesInference EnginesWhere to Go Nextmehr

Autor

Osvaldo Martin is a researcher at CONICET, in Argentina. He has experience using Markov Chain Monte Carlo methods to simulate molecules and perform Bayesian inference. He loves to use Python to solve data analysis problems. He is especially motivated by the development and implementation of software tools for Bayesian statistics and probabilistic modeling. He is an open-source developer, and he contributes to Python libraries like PyMC, ArviZ and Bambi among others. He is interested in all aspects of the Bayesian workflow, including numerical methods for inference, diagnosis of sampling, evaluation and criticism of models, comparison of models and presentation of results.