A consistent approach to least squares estimation of correlation dimension in weak Bernoulli dynamical systems
type: Item
instance of: scholarly article
title: A consistent approach to least squares estimation of correlation dimension in weak Bernoulli dynamical systems
zbMATH Open document ID: 0827.62045
author: Regis J. Serinko
published in: The Annals of Applied Probability
publication date: 1995-03-30T00:00:00Z
Mathematics Subject Classification ID: 62G99
Mathematics Subject Classification ID: 37A99
Mathematics Subject Classification ID: 60F99
Mathematics Subject Classification ID: 28A80
Mathematics Subject Classification ID: 37D45
zbMATH DE Number: 731976
zbMATH Keywords: U-statistic
zbMATH Keywords: fractal
zbMATH Keywords: convergence in measure
zbMATH Keywords: nonlinear dynamics
zbMATH Keywords: chaos
zbMATH Keywords: itinerate process
zbMATH Keywords: absolute regular
zbMATH Keywords: ergodic theory
zbMATH Keywords: least squares procedure
zbMATH Keywords: correlation dimension estimation
zbMATH Keywords: dynamical systems
zbMATH Keywords: Cantor map
zbMATH Keywords: logistic map
zbMATH Keywords: consistency
zbMATH Keywords: Grassberger-Procaccia spatial correlation integral
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aoap/1177004914
OpenAlex ID: W1971512760
DOI: 10.1214/AOAP/1177004914
description: scientific article; zbMATH DE number 731976