Graphical Models and Causal Discovery with R by Joe Suzuki (.ePUB)+
File Size: 37.6 MB
Graphical Models and Causal Discovery with R: 100 Exercises for Building Logic by Joe Suzuki
Requirements: .ePUB, .PDF reader, 37.6 MB | True PDF, True EPUB
Overview: 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. We do not stop at introducing concepts; wherever possible we include implementations in R and Python so that readers can learn in a reproducible manner.
Genre: Non-Fiction > Tech & Devices
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