Bernardo J.M., Smith A.F.M. Bayesian Theory

  1. Файлы
  2. Академическая и специальная литература
  3. Математика
  4. Теория вероятностей и математическая статистика
  5. Математическая статистика
  6. Байесова статистика
Математическая статистика
  • формат pdf
  • размер 10.35 МБ
  • добавлен 27 декабря 2011 г.
Bernardo J.M., Smith A.F.M. Bayesian Theory
Wiley series in probability and statistics. Wiley & Sons, Ltd, 2000. - 611 pages.
This volume, first published in hardback in 1994, presents an overview of the foundations and key theoretical concepts of Bayesian Statistics. The world of Bayesian Statistics has been changing shape and growing in size rapidly and unpredictably - most notably in relation to developments in computational methods and the subsequent opening up of new application horizons. This volume on Bayesian Theory attempts to provide a fairly complete and up-to-date overview of the key concepts, results and issues.
Смотрите также

Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

  • формат djvu
  • размер 10.92 МБ
  • добавлен 25 ноября 2011 г.
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to s...

Congdon P. Bayesian statistical modelling

  • формат pdf
  • размер 4.47 МБ
  • добавлен 02 января 2012 г.
2nd Edition. Wiley series in probability and statistics. Wiley & Sons, Ltd, 2006. - 598 pages. Contents: Introduction: The Bayesian Method, its Benefits and Implementation Bayesian Model Choice, Comparison and Checking The Major Densities and their Application Normal Linear Regression, General Linear Models and Log-Linear Models Hierarchical Priors for Pooling Strength and Overdispersed Regression Modelling Discrete Mixture Priors Multinomia...

James O. Berger. Statistical Decision Theory and Bayesian Analysis

  • формат djvu
  • размер 6.27 МБ
  • добавлен 21 ноября 2011 г.
Springer, 1985. 617 pages. This book is very deep and will not just teach you theory and techniques but will teach you how to think and how to approach and formulate problems, as well as how to interpret the results obtained by various methods and use them in a practical setting. This book is very practically oriented.

Jaynes E.T. Probability Theory: The Logic of Science

  • формат djvu
  • размер 4.63 МБ
  • добавлен 23 мая 2011 г.
For many years there has been controversy over "frequentist" versus "Bayesian" methods of inference, in which the writer has been an outspoken partisan on the Bayesian side. The record of this up to 1981 is given in an earlier book (3aynes, 1983). In these old works there was a strong tendency, on both sides, to argue on the level of philosophy or ideology. We can now hold ourselves somewhat aloof from this because, thanks to recent work, there i...

Keener R.W. Theoretical Statistics: Topics for a Core Course

  • формат pdf
  • размер 2.85 МБ
  • добавлен 19 октября 2011 г.
Springer, 2010. - 538 pages. - Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms - Detailed and rigorous exposition designed to make the material clear and accessible - Rich collection of exercises, many with solutions, pushing students to learn the material well enough to use it in their own research and helping them app...

Neapolitan R.E. Learning Bayesian Networks

  • формат pdf
  • размер 4.64 МБ
  • добавлен 09 октября 2011 г.
Издательство Prentice Hall, 2003, -704 pp. Bayesian networks are graphical structures for representing the probabilistic relationships among a large number of variables and doing probabilistic inference with those variables. During the 1980’s, a good deal of related research was done on developing Bayesian networks (belief networks, causal networks, influence diagrams), algorithms for performing inference with them, and applications that used th...

Neapolitan R.E. Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

  • формат pdf
  • размер 4.56 МБ
  • добавлен 03 января 2011 г.
Morgan Kaufmann Publishers, 2009. - 400 pages. The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book...

Rebai A. (ed.) Bayesian Network

  • формат pdf
  • размер 22.62 МБ
  • добавлен 30 сентября 2011 г.
Издательство InTech, 2010, -442 pp. Bayesian networks are graphical models that represent the probabilistic relationships among a large number of variables and perform probabilistic inference with those variables. They constitute a formal framework for the representation and communication of decisions resulting from reasoning under uncertainty. Bayesian networks, which were named after Thomas Bayes (1702-1761), one of the founders of the probab...

Williams D. Weighing the Odds: A Course in Probability and Statistics

  • формат djvu
  • размер 81.05 МБ
  • добавлен 11 октября 2011 г.
Cambridge University Press, 2001. - 568 pages. In this lively look at both subjects, David Williams convinces Mathematics students of the intrinsic interest of Statistics and Probability, and Statistics students that the language of Mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications. Statistics chapters pres...

Yuen Ka-Veng. Bayesian methods for structural dynamics and civil engineering

  • формат pdf
  • размер 6.71 МБ
  • добавлен 27 декабря 2011 г.
John Wiley & Sons (Asia) Pte Ltd, 2010. - 312 pages. Bayesian inference is a statistical process that quanti?es the degree of belief of hypothesis, events or values of parameters. Many Bayesian methods have been developed in various areas of science and engineering, especially in statistical physics, medical sciences, electrical engineering, and information sciences, etc. This book presents various applications in civil engineering, includin...
  • 2008 — 2024 «СтудМед»