{"product_id":"graphical-models-and-causal-discovery-with-r-100-exercises-for-building-logic-9789819542666","title":"Graphical Models and Causal Discovery with R: 100 Exercises for Building Logic","description":"\u003cp\u003e • Author(s): Joe Suzuki\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan\u003eBeginning 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. \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan\u003eKey features of this book include:\u003c\/span\u003e\u003c\/p\u003e\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eA clear and self-contained introduction, bridging probability, statistics, and modern causal discovery techniques\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e100 exercises with solutions, supporting self-study and classroom use\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eReproducible R code, allowing readers to implement and extend the methods themselves\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eIntuitive figures and visual explanations that clarify abstract concepts\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBroad coverage of applications within statistics and data science, connecting rigorous theory with modern machine learning and causal inference\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":47854012432535,"sku":"9789819542666","price":4804.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789819542666.webp?v=1780037979","url":"https:\/\/atlanticbooks.com\/products\/graphical-models-and-causal-discovery-with-r-100-exercises-for-building-logic-9789819542666","provider":"Atlantic Books","version":"1.0","type":"link"}