Statistical Rethinking (Hardcover)
 
作者: Richard McElreath 
分類: Psychological methodology ,
Economic statistics ,
Probability & statistics  
書城編號: 1642059


售價: $1078.00

購買後立即進貨, 約需 18-25 天

 
 
出版社: Taylor & Francis
出版日期: 2020/03/16
尺寸: 254x178x54mm
重量: 0.82 kg
ISBN: 9780367139919
 
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商品簡介


Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.

The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.

The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.

Features

    • Integrates working code into the main text.
    • Illustrates concepts through worked data analysis examples.
    • Emphasizes understanding assumptions and how assumptions are reflected in code.
    • Offers more detailed explanations of the mathematics in optional sections.
    • Presents examples of using the dagitty R package to analyze causal graphs.

    • Provides the rethinking R package on the author's website and on GitHub.
Richard McElreath 作者作品表

Statistical Rethinking (Hardcover)

eBook: Statistical Rethinking: A Bayesian Course with Examples in R and STAN (DRM EPUB)

eBook: Statistical Rethinking: A Bayesian Course with Examples in R and STAN (DRM PDF)

Statistical Rethinking (Hardcover)

eBook: Statistical Rethinking: A Bayesian Course with Examples in R and Stan (DRM PDF)

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