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Open AccessJournal ArticleDOI

Exact moduli of continuity for operator-scaling Gaussian random fields

TLDR
In this paper, the authors prove that a centered real-valued operator-scaling Gaussian random field with stationary increments satisfies a form of strong local nondeterminism and establish its exact uniform and local moduli of continuity.
Abstract
Let $X=\{X(t),t\in\mathrm{R}^{N}\}$ be a centered real-valued operator-scaling Gaussian random field with stationary increments, introduced by Bierme, Meerschaert and Scheffler (Stochastic Process. Appl. 117 (2007) 312–332). We prove that $X$ satisfies a form of strong local nondeterminism and establish its exact uniform and local moduli of continuity. The main results are expressed in terms of the quasi-metric $\tau_{E}$ associated with the scaling exponent of $X$. Examples are provided to illustrate the subtle changes of the regularity properties.

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Citations
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Journal ArticleDOI

Strong local nondeterminism and exact modulus of continuity for spherical Gaussian fields

TL;DR: In this paper, sample path properties of isotropic spherical Gaussian fields on S 2 have been investigated based on the high-frequency behavior of its angular power spectrum, and the authors exploit this result to establish an exact uniform modulus of continuity for its sample paths.
Journal ArticleDOI

Modulus of continuity of some conditionally sub-Gaussian fields, application to stable random fields

Hermine Biermé, +1 more
- 28 Jul 2015 - 
TL;DR: Modulus of continuity and rate of convergence of series of conditionally sub-Gaussian random fields are studied to state unified results for harmonizable (multi)operator scaling stable random fields through their LePage series representation, as well as to study sample path properties of their multistable analogous.
Journal ArticleDOI

Extremes of Gaussian random fields with regularly varying dependence structure

TL;DR: In this article, the authors consider the case that 1 − σ(t) is regularly varying at t 0 and derive the exact tail asymptotics of a Gaussian random field with variance and correlation functions.
Journal ArticleDOI

The Hausdorff dimension of multivariate operator-self-similar Gaussian random fields

TL;DR: In this article, the Hausdorff dimension of the range and graph of a trajectory over the unit cube K = [ 0, 1 ] d in the Gaussian case was investigated.
Posted Content

Sample path properties of multivariate operator-self-similar stable random fields

Ercan Sönmez
- 03 Feb 2016 - 
TL;DR: In this article, the authors investigated the sample path regularity of multivariate operator-self-similar (OSS) random fields with values in R m given by a harmonizable representation.
References
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Book

Geostatistics: Modeling Spatial Uncertainty

TL;DR: In this article, the Intrinsic Model of Order (IMO) is used for structural analysis and nonlinear methods are used for nonlinear models of scale effects and inverse problems.
MonographDOI

Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance

TL;DR: In this paper, the authors introduce sample path properties such as boundedness, continuity, and oscillations, as well as integrability, and absolute continuity of the path in the real line.
Book

Multivariate Geostatistics: An Introduction with Applications

TL;DR: In this paper, the authors present a brief review of statistical concepts, an introduction to linear geostatistics and an account of three basic methods of multivariate analysis, including the external drift method and the bilinear model of coregionalization.