{"product_id":"graphical-models-and-causal-discovery-with-r-von-joe-suzuki","title":"Graphical Models and Causal Discovery with R","description":"\n                                \n                \u003cp\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\/p\u003e\n                                \n                \n                \u003cp\u003eKey features of this book include:\u003c\/p\u003e\n                                \n                \n                \u003cul\u003e\n                                        \n                    \n                    \u003cli\u003eA clear and self-contained introduction, bridging probability, statistics, and modern causal discovery techniques\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e100 exercises with solutions, supporting self-study and classroom use\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eReproducible R code, allowing readers to implement and extend the methods themselves\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eIntuitive figures and visual explanations that clarify abstract concepts\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eBroad coverage of applications within statistics and data science, connecting rigorous theory with modern machine learning and causal inference\u003c\/li\u003e\n                                        \n                \n                \u003c\/ul\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9789819542666\"\u003e\u003ch3\u003e100 Exercises for Building Logic\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9789819542666","offer_id":57818471760197,"sku":"9789819542666","price":64.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/b932fa3e-c7fd-44f4-bcb8-d70d429eb257.jpg?v=1778306622","url":"https:\/\/shop.autorenwelt.de\/en\/products\/graphical-models-and-causal-discovery-with-r-von-joe-suzuki","provider":"Autorenwelt Shop","version":"1.0","type":"link"}