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Bayesian statistical decision theory

Most popular at the top

  • Optimized Bayesian Dynamic Advisingby Miroslav Karny

    Springer 2006; US$ 209.00

    Written by one of the world's leading groups in the area of Bayesian identification, control, and decision making, this book provides the theoretical and algorithmic basis of optimized probabilistic advising. It is accompanied by a CD that contains a specialized Matlab-based Mixtools toolbox, and examples illustrating the important areas. more...

  • Introduction to Bayesian Statisticsby William M. Bolstad

    Wiley 2013; US$ 155.00

    Praise for the First Edition "I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics." — Statistics in Medical Research "[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent... more...

  • Introduction to Bayesian Statisticsby Karl-Rudolf Koch

    Springer 2007; US$ 149.00

    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$ 169.00

    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...

  • 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 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 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...