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Wednesday, May 13, 2020 | History

6 edition of Algebraic methods in statistics and probability found in the catalog.

Algebraic methods in statistics and probability

AMS Special Session on Algebraic Methods and Statistics, April 8-9, 2000, University of Notre Dame, Notre Dame, Indiana

by AMS Special Session on Algebraic Methods in Statistics (2000 University of Notre Dame)

  • 113 Want to read
  • 23 Currently reading

Published by American Mathematical Society in Providence, R.I .
Written in English

    Subjects:
  • Mathematical statistics -- Congresses,
  • Probabilities -- Congresses,
  • Algebra -- Congresses

  • Edition Notes

    Includes bibliographical references

    StatementMarlos A.G. Viana, Donald St. P. Richards, editors
    GenreCongresses
    SeriesContemporary mathematics -- 287, Contemporary mathematics (American Mathematical Society) -- v. 287
    ContributionsViana, Marlos A. G, Richards, Donald St. P
    Classifications
    LC ClassificationsQA276.A1 A48 2000
    The Physical Object
    Paginationx, 340 p. :
    Number of Pages340
    ID Numbers
    Open LibraryOL17030548M
    ISBN 100821826875
    LC Control Number2001045884

    This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. AMS Special Session on Algebraic Methods and Statistics ( University of Notre Dame) Algebraic methods in statistics and probability: AMS Special Session on Algebraic Methods and Statistics, April , , University of Notre Dame, Notre Dame, Indiana / Marlos A. .

    The earliest writings on probability and statistics, statistical methods drawing from probability theory, date back to Arab mathematicians and cryptographers, notably Al-Khalil (–) and Al-Kindi (–). In the 18th century, statistics also started to draw heavily from calculus. In more recent years statistics has relied more on. The first part of this book consists of four chapters on the themes of Statistics, Computation, Algebra and Biology, offering speedy, self-contained introductions to the emerging field of algebraic statistics and its applications to genomics.

    Algebraic and Geometric Methods in Statistics. The newer area which has been given the name 'algebraic statistics' is concerned with statistical models that can be described, in some way, via. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.


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Algebraic methods in statistics and probability by AMS Special Session on Algebraic Methods in Statistics (2000 University of Notre Dame) Download PDF EPUB FB2

Algebraic statistics is concerned with the development of techniques in algebraic geometry, commutative algebra, and combinatorics, to address problems in statis-tics and its applications.

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The book by Ziemer, concentrates on probability and its applications in electrical engineering, rather than on statistics. The book by Ross, takes a more. Get Algebraic methods in statistics and probability book from a library.

Algebraic methods in statistics and probability: AMS Special Session on Algebraic Methods in Statistics, April, University of Notre Dame, Notre Dame, Indiana. [Marlos A G Viana; Donald St P Richards;]. Nov 14,  · Methods of Mathematics Applied to Calculus, Probability, and Statistics (Dover Books on Mathematics) - Kindle edition by Richard W.

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Algebraic methods and arguments in statistics and probability are well known, from Gauss's least squares principle through Fisher's method of variance decomposition.

The relevance of group-theoretic arguments, for example, became evident in the s. ‘Algebraic statistics’ Application and development of techniques in Algebraic Geometry, Commutative Algebra, and Combinatorics to address problems in Statistics.

Instrumental paper: Diaconis, Persi; Sturmfels, Bernd. Algebraic algorithms for sampling from conditional distributions. Annals of Statistics 26 (), no.

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Finally, the book outlines probability, statistics, and stochastic methods as well as material on bootstrapping and stochastic differential equations, which is a unique approach that is not offered in other literature on the topic. Algebraic statistics is the use of algebra to advance statistics.

Algebra has been useful for experimental design, parameter estimation, and hypothesis testing. Traditionally, algebraic statistics has been associated with the design of experiments and multivariate analysis (especially time series).

Get this from a library. Algebraic methods in statistics and probability II: AMS Special Session Algebraic Methods in Statistics and Probability, March, University of Illinois at Urbana-Champaign, Champaign, IL.

[Marlos A G Viana; Henry P Wynn;] -- This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statistics and Probability--held March.

Dec 02,  · Algebraic statistics applies concepts from algebraic geometry, commutative algebra, and geometric combinatorics to better understand the structure of statistical models, to improve statistical inference, and to explore new classes of models.

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It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design. Nov 19,  · Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address problems in statistics and its applications.

The starting point for this connection is the observation that many statistical models are semialgebraic sets. Algebraic Methods in Statistics and Probability.

Amer Mathematical Society. Ams Special Session on Algebraic Methods in Statistics, Marlos A. Viana, Donald St. Richards (ed.) Year: Language: english You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've.

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Preface Nearly a decade after the publication of (the “South Bend”) CONM Vol Algebraic Methods in Statistics and Probability, the present volume may be char.

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Linear algebra is all about manipulations with vectors and matrices Author: Przemek Chojecki.This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statistics and Probability—held March, at the University of Illinois at Urbana-Champaign—and on contributed articles solicited for this volume.