Large Deviations Techniques and Applications (Record no. 13603)

MARC details
000 -LEADER
fixed length control field 03264nmm a22002655i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230705150630.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642033117
-- 978-3-642-03311-7
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003
Edition number 23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dembo, Amir.
9 (RLIN) 20100
245 ## - TITLE STATEMENT
Title Large Deviations Techniques and Applications
Medium [electronic resource] /
Statement of responsibility, etc. by Amir Dembo, Ofer Zeitouni.
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2010.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Berlin, Heidelberg :
Name of publisher, distributor, etc. Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of publication, distribution, etc. 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 396 p.
Other physical details online resource.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note LDP for Finite Dimensional Spaces -- Applications-The Finite Dimensional Case -- General Principles -- Sample Path Large Deviations -- The LDP for Abstract Empirical Measures -- Applications of Empirical Measures LDP.
520 ## - SUMMARY, ETC.
Summary, etc. The theory of large deviations deals with the evaluation, for a family of probability measures parameterized by a real valued variable, of the probabilities of events which decay exponentially in the parameter. Originally developed in the context of statistical mechanics and of (random) dynamical systems, it proved to be a powerful tool in the analysis of systems where the combined effects of random perturbations lead to a behavior significantly different from the noiseless case. The volume complements the central elements of this theory with selected applications in communication and control systems, bio-molecular sequence analysis, hypothesis testing problems in statistics, and the Gibbs conditioning principle in statistical mechanics. Starting with the definition of the large deviation principle (LDP), the authors provide an overview of large deviation theorems in ${{\rm I\!R}}^d$ followed by their application. In a more abstract setup where the underlying variables take values in a topological space, the authors provide a collection of methods aimed at establishing the LDP, such as transformations of the LDP, relations between the LDP and Laplace's method for the evaluation for exponential integrals, properties of the LDP in topological vector spaces, and the behavior of the LDP under projective limits. They then turn to the study of the LDP for the sample paths of certain stochastic processes and the application of such LDP's to the problem of the exit of randomly perturbed solutions of differential equations from the domain of attraction of stable equilibria. They conclude with the LDP for the empirical measure of (discrete time) random processes: Sanov's theorem for the empirical measure of an i.i.d. sample, its extensions to Markov processes and mixing sequences and their application. The present soft cover edition is a corrected printing of the 1998 edition. Amir Dembo is a Professor of Mathematics and of Statistics at Stanford University. Ofer Zeitouni is a Professor of Mathematics at the Weizmann Institute of Science and at the University of Minnesota.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element System theory.
9 (RLIN) 20101
Topical term or geographic name entry element Control theory.
9 (RLIN) 20102
Topical term or geographic name entry element Probabilities.
9 (RLIN) 20103
Topical term or geographic name entry element Systems Theory, Control .
9 (RLIN) 20104
Topical term or geographic name entry element Probability Theory.
9 (RLIN) 20105
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zeitouni, Ofer.
Relator term author.
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 20106
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-642-03311-7">https://doi.org/10.1007/978-3-642-03311-7</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online 2023-07-05 Infokart India Pvt. Ltd., New Delhi   003 EB1387 2023-07-05 2023-07-05 e-Book