This is the code repository for Bayesian Analysis with Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

The main aim from the first edition remains. That is, to help people with some Python experience but with no previous statistical knowledge to get started with Bayesian data analysis and probabilistic ...

Aprenda los pasos básicos para realizar análisis de datos bayesianos con Python, un enfoque potente y flexible de la estadística inferencial para la ciencia de datos.

The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and ...

Bayesian data analysis is an increasingly popular method of statistical inference, used to determine conditional probability without having to rely on fixed constants such as confidence levels or ...

There are various applications of Bayesian statistics like survival analysis, statistical modelling, parameter estimation e, etc. I encourage the readers to go more in-depth to utilize it with ...

HDDM is an open-source software package written in Python which allows (1) the flexible construction of hierarchical Bayesian drift diffusion models and (2) the estimation of its posterior parameter ...

Conduct Bayesian data analysis with step-by-step guidance Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling Enhance your learning with best practices ...