powerexp.cor

The power correlation model is
$$\rho(h) = \exp\{-(\|h\|/\lambda)^\alpha\}, \quad \lambda&gt;0, \alpha \in [0,2).$$

internal

Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.

Leo Belzile

Modelling of Extreme Values

Jennifer L. Wadsworth

Paul J. Northrop

Scott D. Grimshaw

Jin Zhang

Michael A. Stephens

Art B. Owen

Raphael Huser

powerexp.cor function

<dl><dt>h</dt>
<dd>vector or matrix of pairwise distances</dd>
<dt>alpha</dt>
<dd>smoothness parameter</dd>
<dt>scale</dt>
<dd>scale parameter</dd></dl>

Arguments

Power exponential correlation model — powerexp.cor

<dl>

<dt>h</dt>
<dd>vector or matrix of pairwise distances</dd>


<dt>alpha</dt>
<dd>smoothness parameter</dd>


<dt>scale</dt>
<dd>scale parameter</dd>

</dl>

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powerexp.cor: Power exponential correlation model

Description

Usage

Value

Arguments