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Bayesian statistical decision theory

Most popular at the top

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2011; US$ 137.00

    A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic,... more...

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2014; US$ 90.95

    This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own... more...

  • Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Scienceby Franco Taroni; Alex Biedermann; Silvia Bozza; Paolo Garbolino; Colin Aitken

    Wiley 2014; US$ 100.00

    "This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is... more...

  • Bayesian Artificial Intelligenceby Kevin B. Korb; Ann E. Nicholson

    Taylor and Francis 2003; US$ 104.95

    As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical... more...

  • Multivariate Bayesian Statisticsby Daniel B. Rowe

    Taylor and Francis 2002; US$ 154.95

    Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but... more...

  • 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 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...

  • 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...