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005 - DATE AND TIME OF LATEST TRANSACTION |
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20140310151457.0 |
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120110s2012 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642249396 |
|
978-3-642-24939-6 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA273.A1-274.9 |
|
Classification number |
QA274-274.9 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.2 |
Edition number |
23 |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg, |
-- |
2012. |
912 ## - |
-- |
ZDB-2-SMA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Lifshits, Mikhail. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Lectures on Gaussian Processes |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
by Mikhail Lifshits. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
X, 121p. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
SpringerBriefs in Mathematics, |
International Standard Serial Number |
2191-8198 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Preface -- 1.Gaussian Vectors and Distributions -- 2.Examples of Gaussian Vectors, Processes and Distributions -- 3.Gaussian White Noise and Integral Representations -- 4.Measurable Functionals and the Kernel -- 5.Cameron-Martin Theorem -- 6.Isoperimetric Inequality -- 7.Measure Concavity and Other Inequalities -- 8.Large Deviation Principle -- 9.Functional Law of the Iterated Logarithm -- 10.Metric Entropy and Sample Path Properties -- 11.Small Deviations -- 12.Expansions of Gaussian Vectors -- 13.Quantization of Gaussian Vectors -- 14.Invitation to Further Reading -- References. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range of tools for probabilistic modelling in various academic and technical domains such as Statistics, Forecasting, Finance, Information Transmission, Machine Learning - to mention just a few. The objective of these Briefs is to present a quick and condensed treatment of the core theory that a reader must understand in order to make his own independent contributions. The primary intended readership are PhD/Masters students and researchers working in pure or applied mathematics. The first chapters introduce essentials of the classical theory of Gaussian processes and measures with the core notions of reproducing kernel, integral representation, isoperimetric property, large deviation principle. The brevity being a priority for teaching and learning purposes, certain technical details and proofs are omitted. The later chapters touch important recent issues not sufficiently reflected in the literature, such as small deviations, expansions, and quantization of processes. In university teaching, one can build a one-semester advanced course upon these Briefs. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematics. |
|
Topical term or geographic name as entry element |
Distribution (Probability theory). |
|
Topical term or geographic name as entry element |
Mathematics. |
|
Topical term or geographic name as entry element |
Probability Theory and Stochastic Processes. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9783642249389 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-24939-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |