Bayesian networks in r, Nagarajan, Radhakrishnan Scutari, Marco Lebre, Sophie
Автор: Darwiche Название: Modeling and Reasoning with Bayesian Networks ISBN: 1107678420 ISBN-13(EAN): 9781107678422 Издательство: Cambridge Academ Рейтинг: Цена: 65470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis.
Автор: Uffe B. Kj?rulff; Anders L. Madsen Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis ISBN: 1493900293 ISBN-13(EAN): 9781493900299 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.
Автор: Kjarulff, Uffe B. Madsen, Anders L. Название: Bayesian networks and influence diagrams: a guide to construction and analysis ISBN: 1461451035 ISBN-13(EAN): 9781461451037 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.
Автор: Russell G. Almond; Robert J. Mislevy; Linda S. Ste Название: Bayesian Networks in Educational Assessment ISBN: 1493938282 ISBN-13(EAN): 9781493938285 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- An Introduction to Evidence-Centered Design.- Bayesian Probability and Statistics: a review.- Basic graph theory and graphical models.- Efficient calculations.- Some Example Networks.- Explanation and Test Construction.- Parameters for Bayesian Network Models.- Learning in Models with Fixed Structure.- Critiquing and Learning Model Structure.- An Illustrative Example.- The Conceptual Assessment Framework.- The Evidence Accumulation Process.- The Biomass Measurement Model.- The Future of Bayesian Networks in Educational Assessment.- Bayesian Network Resources.- References.
Автор: Russell G. Almond; Robert J. Mislevy; Linda S. Ste Название: Bayesian Networks in Educational Assessment ISBN: 149392124X ISBN-13(EAN): 9781493921249 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bayesian Networks in Educational Assessment
Автор: Uffe B. Kj?rulff; Anders L. Madsen Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis ISBN: 1441925465 ISBN-13(EAN): 9781441925466 Издательство: Springer Рейтинг: Цена: 71690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.
Автор: Jos? A. G?mez; Serafin Moral; Antonio Salmer?n Cer Название: Advances in Bayesian Networks ISBN: 364205885X ISBN-13(EAN): 9783642058851 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Benson Mick Название: Bayesian Networks Handbook ISBN: 1632400758 ISBN-13(EAN): 9781632400758 Издательство: Неизвестно Цена: 85770.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Thompson John Название: Bayesian Analysis with Stata ISBN: 1597181412 ISBN-13(EAN): 9781597181419 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Невозможна поставка. Описание:
Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.
The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.
The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.
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