{"product_id":"chain-event-graphs-9781498729604","title":"Chain Event Graphs","description":"\u003cp\u003e • Author(s): Rodrigo A. Collazo\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Bayesian Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e Written by some major contributors to the development of this class of graphical models, \u003cb\u003eChain Event Graphs \u003c\/b\u003eintroduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of discrete Bayesian Networks so that they apply in a much more general setting\u003cbr\u003e As the first book on Chain Event Graphs, this monograph is expected to become a landmark work on the use of event trees and coloured probability trees in statistics, and to lead to the increased use of such tree models to describe hypotheses about how events might unfold.\u003c\/p\u003e\u003cp\u003eFeatures: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eintroduces a new and exciting discrete graphical model based on an event tree\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003efocusses on illustrating inferential techniques, making its methodology accessible to a very broad audience and, most importantly, to practitioners\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eillustrated by a wide range of examples, encompassing important present and future applications\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eincludes exercises to test comprehension and can easily be used as a course book\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eintroduces relevant software packages\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e Rodrigo A. Collazo is a methodological and computational statistician based at the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro, Brazil. \u003cb\u003eChristiane Görgen\u003c\/b\u003e is a mathematical statistician at the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. \u003cb\u003eJim Q. Smith\u003c\/b\u003e is a professor of statistics at the University of Warwick, UK. He has published widely in the field of statistics, AI, and decision analysis and has written two other books, most recently \u003ci\u003eBayesian Decision Analysis: Principles and Practice\u003c\/i\u003e (Cambridge University Press 2010).\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45238792290455,"sku":"9781498729604","price":8127.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781498729604.webp?v=1769220780","url":"https:\/\/atlanticbooks.com\/products\/chain-event-graphs-9781498729604","provider":"Atlantic Books","version":"1.0","type":"link"}