Зарегистрироваться
Восстановить пароль
FAQ по входу

Savchuk V., Tsokos C.P. Bayesian Theory and Methods with Applications

  • Файл формата pdf
  • размером 3,75 МБ
  • Добавлен пользователем
  • Описание отредактировано
Savchuk V., Tsokos C.P. Bayesian Theory and Methods with Applications
Atlantis – 2011, 331 pages.
ISBN: 9491216139.
Bayesian methods are becoming more and more popular in health sciences, engineering, environmental sciences, business and economics, social sciences, among others. In statistical estimation and analysis of the unknown phenomenon of interest, if we can justify that Bayesian analysis is applicable, we will obtain the best possible estimate of the unknown. This usefulness of Bayesian methods is illustrated with various applications of real world problems.
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация

Смотри также

Подробнее

Carlin Bradley P., Louis Thomas A. Bayesian Methods for Data Analysis

  • pdf
Third Edition. — Chapman & HALL/CRC. 2008. — 552 p. Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via...
  • 4,35 МБ
  • добавлен
  • описание отредактировано
Подробнее

Congdon P. Bayesian Statistical Modelling

  • pdf
2nd Edition. — Wiley & Sons, Ltd, 2006. — 598 p. — (Wiley Series in Probability and Statistics). 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...
  • 4,47 МБ
  • добавлен
  • описание отредактировано
Подробнее

Ghosh J.K., Delampady M., Samanta T. An Introduction to Bayesian Analysis: Theory and Methods

  • pdf
Springer, 2006. — 366 p. — ISBN: 0387400842. This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current...
  • 4,66 МБ
  • добавлен
  • описание отредактировано
Подробнее

Koch K.R. Introduction to Bayesian Statistics

  • pdf
Springer – 2007, 250 pages. ISBN: 354072723X. 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...
  • 1,56 МБ
  • добавлен
  • описание отредактировано
Подробнее

Rebai A. (ed.) Bayesian Network

  • pdf
InTech, 2010. — 442 p. 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...
  • 22,62 МБ
  • добавлен
  • описание отредактировано
Подробнее

Кельберт М.Я., Сухов Ю.М. Вероятность и статистика в примерах и задачах. Том 2. Марковские цепи как отправная точка теории случайных процессов и их приложения

  • pdf
Учебное пособие. — Москва: Московский центр непрерывного математического образования (МЦНМО), 2009. — 588 c. — ISBN 978-5-94057-252-7. Для освоения теории вероятностей и математической статистики тренировка в решении задач и выработка интуиции важны не меньше, чем изучение доказательств теорем; большое разнообразие задач по этому предмету затрудняет студентам переход от лекций...
  • 4,15 МБ
  • добавлен
  • описание отредактировано
Наверх