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Bayesian statistical decision theory

Most popular at the top

  • Introduction to Bayesian Statisticsby Karl-Rudolf Koch

    Springer 2007; US$ 99.99

    The Introduction to Bayesian Statistics (2nd Edition) presents Bayes? theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust... more...

  • Bayesian Reliabilityby Michael S. Hamada; Alyson G. Wilson; C. Shane Reese; Harry F. Martz

    Springer 2008; US$ 94.99

    Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational... more...

  • Modeling and Reasoning with Bayesian Networksby Adnan Darwiche

    Cambridge University Press 2009; US$ 84.00

    Introduces the formal foundations and practical applications of Bayesian networks. more...

  • Bayesian Methods for Measures of Agreementby Lyle D. Broemeling

    Taylor & Francis 2009; US$ 96.95

    Employs a Bayesian approach to provide statistical inferences based on various models of intra- and inter rater agreement. This book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. It discusses how to successfully design and analyze an agreement study. 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$ 47.99

    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$ 70.95

    Statistical theory is primarily a product of the twentieth century. The prevailing school of thought builds on the frequentist philosophy developed by R.A. Fisher, the eminent biological theorist and experimentalist. Fisher's philosophy has been so thoroughly embraced that it has been labeled the "classical" approach, even though the alternative Bayesian... more...

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

    Wiley 2009; US$ 465.00

    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$ 65.00

    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...