Bivariate density estimation using BV regularisation

The problem of bivariate density estimation is studied with the aim of finding the density function with the smallest number of local extreme values which is adequate with the given data. Adequacy is defined via Kuiper metrics. The concept of the taut-string algorithm which provides adequate approxi...

Full description

Saved in:

Bibliographic Details
Published in:	Computational statistics & data analysis Vol. 51; no. 12; pp. 5622 - 5634
Main Authors:	Obereder, Andreas, Scherzer, Otmar, Kovac, Arne
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 15.08.2007 Elsevier Science Elsevier
Series:	Computational Statistics & Data Analysis
Subjects:	Density estimation Exact sciences and technology General topics Mathematics Modality Multivariate analysis Nonparametric inference Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Probability and statistics Regularisation Sciences and techniques of general use Statistics Regularisation Density estimation Modality Data analysis Triangulation Approximation Filtering Statistical computation Extreme value Two-dimensional calculations Density function Approximation algorithm
ISSN:	0167-9473, 1872-7352
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!