{"product_id":"9780470743041","title":"Bayesian Networks An Introduction","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eBayesian Networks\u003c\/h1\u003e\u003ch2\u003eAn Introduction\u003c\/h2\u003e\u003ch3\u003eTimo Koski | John Noble\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ Bayesian Analysis\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003ci\u003eBayesian Networks: An Introduction\u003c\/i\u003e provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.  \u003cp\u003eFeatures include:\u003c\/p\u003e \u003cul type=\"disc\"\u003e \u003cli\u003eAn introduction to Dirichlet Distribution, Exponential Families and their applications.\u003c\/li\u003e \u003cli\u003eA detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.\u003c\/li\u003e \u003cli\u003eA discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.\u003c\/li\u003e \u003cli\u003eAll concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.\u003c\/p\u003e \u003cp\u003eResearchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cstrong\u003eTimo Koski\u003c\/strong\u003e, Professor of Mathematical Statistics, Department of Mathematics, Royal Institute of Technology, Stockholm, Sweden. \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJohn M. Noble\u003c\/strong\u003e, Department of Mathematics, University of Linköping, Sweden. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e09 November 2009\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470743041\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e368\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e28.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314790330508,"sku":"9780470743041","price":107.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470743041_f53995e7-63e8-4096-b05c-690cb3529617.jpg?v=1780200797","url":"https:\/\/lateknightbooks.com\/products\/9780470743041","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}