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Bayesian statistical decision theory

Most popular at the top

  • Bayesian Modeling Using WinBUGSby Ioannis Ntzoufras

    Wiley 2011; US$ 151.00

    A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles... 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...

  • R Cookbookby Paul Teetor

    O'Reilly Media 2011; US$ 31.99

    With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic... 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...

  • Bayesian Logical Data Analysis for the Physical Sciencesby Phil Gregory

    Cambridge University Press 2005; US$ 56.00

    A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005. 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...

  • Bayesian Statistical Modellingby Peter Congdon

    Wiley 2007; US$ 114.00

    Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters.... 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 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...