Bayesian Decision Analysis: Principles and Practice

    By

    Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence diagrams and causal Bayesian networks. The author demonstrates when and how the theory can be successfully applied to a given decision problem, how data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be implemented. Evolving from a third-year undergraduate course taught by the author over many years, all of the material in this book will be accessible to a student who has completed introductory courses in probability and mathematical statistics.

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    Number of Pages: 348
    Format(s): Hardback - ISBN: 9780521764544
    Publication Date:
    Listed in: Probability & statistics
    Publisher: CAMBRIDGE UNIVERSITY PRESS

    Books by Jim Q. Smith

    Hardback

    RRP: £38.99

    Sale Price: £35.60

    Save: £3.39 per copy!

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