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Graphical Models and Causal Discovery with R: 100 Exercises for Building Logic

by Joe Suzuki
Save 35% Save 35%
Current price ₹4,804.00
Original price ₹7,390.00
Original price ₹7,390.00
Original price ₹7,390.00
(-35%)
₹4,804.00
Current price ₹4,804.00

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Book cover type: Paperback
  • ISBN13: 9789819542666
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 211
  • Original Price: EUR 65.39
  • Language: English
  • Edition: N/A
  • Item Weight: 308 grams
  • BISAC Subject(s): Computer Science

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

Joe Suzuki is a professor of statistics at Osaka University, Japan

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