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Topological complexity of smooth random functions : École d'Été de Probabilités de Saint-Flour XXXIX-2009 / Robert J. Adler, Jonathan E. Taylor.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in mathematics (Springer-Verlag) ; 2019.Publication details: Berlin ; Heidelberg ; New York : Springer, ©2011.Description: 1 online resource (viii, 122 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642195808
  • 3642195806
  • 9783642195792
  • 3642195792
Subject(s): Additional physical formats: Print version:: Topological complexity of smooth random functions.DDC classification:
  • 519.2/3 23
LOC classification:
  • QA274.45 .A35 2011
Online resources:
Contents:
Gaussian processes -- Some geometry and some topology -- The Gaussian kinematic formula -- On applications: topological inference -- Algebraic topology of excursions sets: a new challenge.
Summary: These notes, based on lectures delivered in Saint Flour, provide an easy introduction to the authors' 2007 Springer monograph "Random Fields and Geometry." While not as exhaustive as the full monograph, they are also less exhausting, while still covering the basic material, typically at a more intuitive and less technical level. They also cover some more recent material relating to random algebraic topology and statistical applications. The notes include an introduction to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness. This is followed by a quick review of geometry, both integral and Riemannian, with an emphasis on tube formulae, to provide the reader with the material needed to understand and use the Gaussian kinematic formula, the main result of the notes. This is followed by chapters on topological inference and random algebraic topology, both of which provide applications of the main results.
Holdings
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eBook eBook e-Library eBook LN Mathematic Available
Total holds: 0

Includes bibliographical references and indexes.

Gaussian processes -- Some geometry and some topology -- The Gaussian kinematic formula -- On applications: topological inference -- Algebraic topology of excursions sets: a new challenge.

Print version record.

These notes, based on lectures delivered in Saint Flour, provide an easy introduction to the authors' 2007 Springer monograph "Random Fields and Geometry." While not as exhaustive as the full monograph, they are also less exhausting, while still covering the basic material, typically at a more intuitive and less technical level. They also cover some more recent material relating to random algebraic topology and statistical applications. The notes include an introduction to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness. This is followed by a quick review of geometry, both integral and Riemannian, with an emphasis on tube formulae, to provide the reader with the material needed to understand and use the Gaussian kinematic formula, the main result of the notes. This is followed by chapters on topological inference and random algebraic topology, both of which provide applications of the main results.

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