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Bayesian statistical decision theory

Most popular at the top

  • Bayesian Methods for Measures of Agreementby Lyle D. Broemeling

    CRC Press 2009; US$ 109.95

    "This book is a welcome addition to the literature on Bayesian inference as it presents methods for the design and analysis of agreement studies. ? The approach presented by the author is novel and the novice will find a helpful introduction to Bayesian inference in an appendix. ? The text is readable and will form a valuable reference source. For... more...

  • 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...

  • 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

    Springer New York 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 Inferenceby William A Link; Richard J Barker

    Elsevier Science 2009; US$ 73.95

    This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software... more...

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

    Wiley 2009; US$ 494.00

    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...

  • Rational Decisionsby Ken Binmore

    Princeton University Press 2008; US$ 28.95

    It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this... 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

    Springer Berlin Heidelberg 2013; US$ 29.99

    Die Autorin macht die Bedeutung des Bayes-Theorems einem breiten Publikum verständlich: von seiner Entdeckung im 18. Jahrhundert, der Weiterentwicklung durch Laplace über die vielen Kontroversen, die es ausgelöst hat, bis zur allgegenwärtigen Anwendung heute. more...