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eBook Graphical Models (Oxford Statistical Science Series) ePub

eBook Graphical Models (Oxford Statistical Science Series) ePub

by Steffen L. Lauritzen

  • ISBN: 0198522193
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Steffen L. Lauritzen
  • Language: English
  • Publisher: Clarendon Press; 1 edition (July 25, 1996)
  • Pages: 312
  • ePub book: 1195 kb
  • Fb2 book: 1317 kb
  • Other: doc mobi docx lrf
  • Rating: 4.5
  • Votes: 293

Description

Graphical Models (Oxford. has been added to your Cart. Steffen L. Lauritzen is a Professor in the Department of Mathematics and Computer Science at the University of Aalborg, Denmark and was previously Professor of Statistics at Oxford University.

Graphical Models (Oxford. Series: Oxford Statistical Science Series (Book 17). Hardcover: 312 pages.

The use of graphical models in statistics has increased considerably over . Graphical Models Oxford Statistical Science Series (Том 17). Автор. Lauritzen.

The use of graphical models in statistics has increased considerably over recent years and the theory has been greatly developed and extended. Clarendon Press, 1996.

Электронная книга "Graphical Models", Steffen L. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Graphical Models" для чтения в офлайн-режиме.

Oxford Statistical Science Series. The Statistical Evaluation of Medical Tests for Classification and Prediction. Margaret Sullivan Pepe. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models in statistics has increased considerably over recent years and the theory has been greatly developed and extended.

Semantic Scholar extracted view of "Graphical Models Oxford Statistical Science Series 17" by Steffen L. Graphical Models Oxford Statistical Science Series 17. oceedings{alMO, title {Graphical Models Oxford Statistical Science Series 17}, author {Steffen L. Lauritzen}, year {1996} }.

Steffen Lauritzen FRS (born 22 April 1947) is former Head of the Department of Statistics at the University of Oxford and Fellow of Jesus College, Oxford, and currently Professor of Statistics at the University of Copenhagen. He is a leading proponent of mathematical statistics and graphical models. He studied statistics at the University of Copenhagen, Denmark, completing the degree of Candidatus statisticae (. c. level) in 1972 and Licentiatus statisticae (PhD level) in 1975.

Main Graphical models. Categories: Mathematics\Probability. ISBN 13: 9780198522195. Series: Oxford Statistical Science Series.

Home Steffen L. Lauritzen Graphical Models (Oxford Statistical Science Series). The use of graphical models in statistics has increased considerably in these and other areas such as artificial intelligence, and the theory has been greatly developed and extended. Graphical Models (Oxford Statistical Science Series). ISBN 10: 0198522193, ISBN 13: 9780198522195. Published by Oxford University Press, USA, 1996. Used Condition: Used: Good Hardcover.

Graphical Models book.

Steffen L. This book is hot and popping! But seriously, it is a great read for anyone wanting to learn the theory behind graphical models. One person found this helpful.

The application of graph theory to modelling systems began in several scientific areas, among them statistical physics (the study of large particle systems), genetics (studying inheritable properties of natural species), and interactions in contingency tables. The use of graphical models in statistics has increased considerably in these and other areas such as artificial intelligence, and the theory has been greatly developed and extended. This is the first comprehensive and authoritative account of the theory of graphical models. Written by a leading expert in the field, it contains the fundamentals graph required and a thorough study of Markov properties associated with various type of graphs, the statistical theory of log-linear and graphical models, and graphical tables with mixed discrete-continuous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivariate normal distribution and of the theory of regular exponential families.

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