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Книга Graphical Models and Causal Discovery with R Joe Suzuki

Graphical Models and Causal Discovery with R

Автор: Joe Suzuki
Език: Английски език
Корици: С меки корици
Издател: Springer-Verlag GmbH
Наличност: Външен склад
Изпращаме след 5-8 дни
62.00 € 121.27 лв
Beginning with a gentle introduction to causal discovery and the foundations of probability and stat...

Информация за книгата

Автор
Joe Suzuki
Език
Английски език
Корици
Книга - С меки корици
Издадена
2026
страници
190
EAN
9789819542666
ISBN
9819542669
Enbook ID
49786084
Издател
Springer-Verlag GmbH
Теглоt
330
Размери
155 x 235

Пълно описание

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information criteria, and Bayesian methods. Far more than a theoretical treatment, this volume emphasizes hands-on learning through R implementations, carefully designed exercises with solutions, and intuitive graphical illustrations. Readers will gain the ability to see, run, and understand causal discovery methods in practice. 

Key features of this book include:

  • A clear and self-contained introduction, bridging probability, statistics, and modern causal discovery techniques
  • 100 exercises with solutions, supporting self-study and classroom use
  • Reproducible R code, allowing readers to implement and extend the methods themselves
  • Intuitive figures and visual explanations that clarify abstract concepts
  • Broad coverage of applications within statistics and data science, connecting rigorous theory with modern machine learning and causal inference

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