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Bayesian Statistical Modeling with Stan, R, and Python

This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language. The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents...

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Bibliographic Details
Main Author:	Matsuura, Kentaro
Format:	eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2022, 2022
Edition:	1st ed. 2022
Subjects:	Statistical Theory And Methods Statistics Biostatistics Social Sciences—statistical Methods Statistics In Business, Management, Economics, Finance, Insurance Mathematical Statistics—data Processing Statistics And Computing Statistics In Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Biometry
Online Access:	https://doi.org/10.1007/978-981-19-4755-1?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

Table of Contents:

Introduction
Introduction of Stan
Essential Components and Techniques for Experts
Advanced Topics for Real-world Data

Bayesian Statistical Modeling with Stan, R, and Python

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