The Leading eBooks Store Online

for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry...

New to eBooks.com?

Learn more
Browse our categories
  • Bestsellers - This Week
  • Foreign Language Study
  • Pets
  • Bestsellers - Last 6 months
  • Games
  • Philosophy
  • Archaeology
  • Gardening
  • Photography
  • Architecture
  • Graphic Books
  • Poetry
  • Art
  • Health & Fitness
  • Political Science
  • Biography & Autobiography
  • History
  • Psychology & Psychiatry
  • Body Mind & Spirit
  • House & Home
  • Reference
  • Business & Economics
  • Humor
  • Religion
  • Children's & Young Adult Fiction
  • Juvenile Nonfiction
  • Romance
  • Computers
  • Language Arts & Disciplines
  • Science
  • Crafts & Hobbies
  • Law
  • Science Fiction
  • Current Events
  • Literary Collections
  • Self-Help
  • Drama
  • Literary Criticism
  • Sex
  • Education
  • Literary Fiction
  • Social Science
  • The Environment
  • Mathematics
  • Sports & Recreation
  • Family & Relationships
  • Media
  • Study Aids
  • Fantasy
  • Medical
  • Technology
  • Fiction
  • Music
  • Transportation
  • Folklore & Mythology
  • Nature
  • Travel
  • Food and Wine
  • Performing Arts
  • True Crime
  • Foreign Language Books
Bayesian statistical decision theory

Most popular at the top

  • Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientistsby Howard B. Stauffer

    Wiley 2007; US$ 139.00

    The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as... more...

  • Bayesian Networksby Timo Koski; John Noble

    Wiley 2011; US$ 101.95

    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of... more...

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    Wiley 2004; US$ 135.00

    This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated... 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...

  • Handbook of Statisticsby Dipak K. Dey; C.R. Rao

    Elsevier Science 2005; US$ 325.00

    This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of... 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...