Functional and shape data analysis / (Record no. 525537)

MARC details
000 -LEADER
fixed length control field 02283cam a22002297i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781493940189 (hardcover : acidfree paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 149394018X (hardcover : acidfree paper)
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.535
Item number SRI
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Srivastava, Anuj
245 10 - TITLE STATEMENT
Title Functional and shape data analysis /
Statement of responsibility, etc. by Anuj Srivastava, Eric P. Klassen
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2016.
Place of publication, distribution, etc. New York :
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 447p. :
Other physical details illustrations (some color) ;
490 1# - SERIES STATEMENT
Series statement Springer series in statistics,
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 439-443) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Motivation for function and shape analysis -- Previous techniques in shape analysis -- Background : relevant tools from geometry -- Functional data and elastic registration -- Shapes of planar curves -- Shapes of planar closed curves -- Statistical modeling on nonlinear manifolds -- Statistical modeling of functional data -- Statistical modeling of planar shapes -- Shapes of curves in higher dimensions -- Related topics in shape analysis of curves -- Background material -- The dynamic programming algorithm.
520 ## - SUMMARY, ETC.
Summary, etc. This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. Covering a broad range of ideas from different disciplines, it is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves--in one, two, and higher dimensions--both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Functional analysis.
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Analisi funzionale.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Functional analysis.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Klassen, E.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book

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