Statistical Rethinking: A Bayesian Course with Examples in R and Stan, written by Richard McElreath, is a textbook that makes statistical modeling accessible for users who are looking for a Bayesian course with a unique computational approach. The book builds knowledge and confidence in drawing inferences from data with practical examples in R and Stan.
Product description
This Bayesian course with examples covers fundamentals from regression to advanced multilevel models, with an emphasis on causal inference via directed acyclic graphs (DAGs). The second edition introduces new topics such as prior design, splines, social networks, and advanced Monte Carlo methods. The content encourages working through calculations that are normally automated step by step, fostering a deep understanding of statistical assumptions.
In addition to clear theory, the book includes practical applications with the dagitty and rethinking R packages. It concludes with a chapter on integrating domain-specific models within statistical analyses.
Specifications
- Author: Richard McElreath (Max Planck Institute for Evolutionary Anthropology)
- Publisher: Taylor & Francis Ltd
- Series: Chapman & Hall/CRC Texts in Statistical Science
- Publication date: March 16, 2020
- Number of pages: 594
- ISBN: 9780367139919
- Theme: Probability and statistics