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Bayesian statistical decision theory

Most popular at the top

  • Modeling and Reasoning with Bayesian Networksby Adnan Darwiche

    Cambridge University Press 2009; US$ 48.00

    This book introduces the formal foundations and practical applications of Bayesian networks. more...

  • Bayesian Methods for Measures of Agreementby Lyle D. Broemeling

    Taylor and Francis 2009; US$ 104.95

    Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author employs a Bayesian approach to provide statistical inferences... more...

  • Hierarchical Modelling for the Environmental Sciencesby James S. Clark; Alan E. Gelfand

    Oxford University Press, UK 2006; US$ 124.99

    '...if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1 - more...

  • Data Analysisby Devinderjit Sivia; John Skilling

    Oxford University Press, UK 2006; US$ 50.00

    One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews more...

  • Bayesian Computation with Rby Jim Albert

    Springer 2009; US$ 59.95

    There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free... more...

  • Bayesian Theoryby Josť M. Bernardo; Adrian F. M. Smith

    Wiley 2009; US$ 479.00

    This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion... more...

  • Bayesian Estimation and Trackingby Anton J. Haug

    Wiley 2012; US$ 129.00

    A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing... more...

  • Bayesian Argumentationby Frank Zenker

    Springer 2012; US$ 129.00

    Relevant to, and drawing from, a range of disciplines, the chapters in this collection show the diversity, and applicability, of research in Bayesian argumentation. Together, they form a challenge to philosophers versed in both the use and criticism of Bayesian models who have largely overlooked their potential in argumentation. Selected from contributions... more...

  • Die Theorie, die nicht sterben wollteby Sharon Bertsch McGrayne; Carl Freytag

    Springer 2013; US$ 29.99

    Wenn sich die Fakten andern, andere ich meine Meinung. Und was tun Sie" "John Maynard Keynes "Suchmaschinen und Qualitatsmanagement, Versicherungen und Erdbebenvorhersagen, Verkehrsflusse, Geheimcodes und medizinische Prognosen die sogenannte Bayes sche Regel ist geradezu allgegenwartig und dennoch nur wenigen vertraut. Dabei ist sie... more...

  • Bayesian Artificial Intelligence, Second Editionby Kevin B. Korb; Ann E. Nicholson

    Taylor and Francis 2010; US$ 104.95

    Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors... more...