Open Access
VOL. 6 | 2010 Persistent homology for random fields and complexes
Robert J. Adler, Omer Bobrowski, Matthew S. Borman, Eliran Subag, Shmuel Weinberger

Editor(s) James O. Berger, T. Tony Cai, Iain M. Johnstone

Inst. Math. Stat. (IMS) Collect., 2010: 124-143 (2010) DOI: 10.1214/10-IMSCOLL609

Abstract

We discuss and review recent developments in the area of applied algebraic topology, such as persistent homology and barcodes. In particular, we discuss how these are related to understanding more about manifold learning from random point cloud data, the algebraic structure of simplicial complexes determined by random vertices and, in most detail, the algebraic topology of the excursion sets of random fields.

Information

Published: 1 January 2010
First available in Project Euclid: 26 October 2010

MathSciNet: MR2798515

Digital Object Identifier: 10.1214/10-IMSCOLL609

Subjects:
Primary: 55N35 , 60G15
Secondary: 60G55 , 62H35

Keywords: barcodes , Betti numbers , Euler characteristic , Gaussian kinematic formula , Gaussian processes , manifold learning , Persistent homology , random complexes , Random fields

Rights: Copyright © 2010, Institute of Mathematical Statistics

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