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Springer Bayesian Statistical Modeling with Stan, R, and Python

Name: Springer Bayesian Statistical Modeling with Stan, R, and Python
Brand: Springer
Price: 90.1 GBP
Availability: InStock

Higher Education

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Description

Master Bayesian inference with this practical guide from Springer. This book provides a structured approach to probabilistic programming using Stan, the most popular language in the field. It moves beyond theory by presenting a modeling workflow designed to make statistical modeling feel like engineering rather than art. The content is organized into four comprehensive parts. You will start with the theoretical background of Bayesian inference before moving into hands-on applications using Stan, CmdStanR, and CmdStanPy. The text covers everything from basic regression analyses to more complex topics, including various probability distributions, nonlinear models, and hierarchical modeling techniques. This resource is built for those who want to apply Bayesian statistical modeling effectively using R and Python.

Key Features

This Springer publication provides a practical introduction to Bayesian statistical modeling using Stan.

Learn to use Stan, CmdStanR, and CmdStanPy to perform regression analyses and probabilistic programming.

The book covers a wide range of topics including probability distributions and nonlinear models.

Develop a structured modeling workflow that treats statistical modeling as an engineering process.

Explore advanced statistical concepts such as hierarchical modeling through a guided curriculum.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9811947546
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 25 January 2023
Listed Since: 13 June 2022

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