{"product_id":"9780367539733-principles-of-uncertainty","title":"Principles of Uncertainty","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003eLike the De Groot winning first edition, the second edition of \u003ci\u003ePrinciples of Uncertainty \u003c\/i\u003eis an accessible, comprehensive guide to the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. \u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003ePraise for the first edition: \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003e\u003cstrong\u003e \u003cbr\u003e\u003c\/strong\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003e\u003cstrong\u003ePrinciples of Uncertainty\u003c\/strong\u003e\u003c\/i\u003e\u003c\/p\u003e\n\u003ci\u003e\u003cstrong\u003e is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. … the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. … A must-read for sure!\u003c\/strong\u003e\u003c\/i\u003e\u003cstrong\u003e\u003cb\u003e—Christian Robert, \u003cem\u003eCHANCE\u003c\/em\u003e\u003c\/b\u003e\u003c\/strong\u003e\u003cp\u003e\u003cstrong\u003eIt's a lovely book, one that I hope will be widely adopted as a course textbook.\u003cbr\u003e—\u003cb\u003eMichael Jordan, University of California, Berkeley, USA\u003c\/b\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eLike the prize-winning first edition, \u003cb\u003e\u003ci\u003ePrinciples of Uncertainty\u003c\/i\u003e\u003c\/b\u003e, \u003cb\u003e\u003ci\u003eSecond Edition\u003c\/i\u003e\u003c\/b\u003e is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eFirst edition won the 2011 DeGroot Prize\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eWell-written introduction to theory of Bayesian statistics\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eEach of the introductory chapters begins by introducing one new concept or assumption\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eUses \"just-in-time mathematics\"—the introduction to mathematical ideas just before they are applied\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":56434625053046,"sku":"9780367539733","price":62.9,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/stand_36650408.jpg?v=1760671525","url":"https:\/\/www.rarewaves.com\/products\/9780367539733-principles-of-uncertainty","provider":"Rarewaves.com","version":"1.0","type":"link"}