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Actuarial science / Copula / Dirichlet process / Correlation and dependence / Conjugate prior / Mixture model / Normal distribution / Johann Peter Gustav Lejeune Dirichlet / Parametric model / Statistics / Statistical dependence / Statistical models


Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY
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Document Date: 2010-05-13 11:28:30

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City

Dirichlet / Copula / /

Company

Monte Carlo / /

Country

United States / /

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Event

Environmental Issue / /

Facility

North Carolina State University / /

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IndustryTerm

stable law / pre-processing / increase energy consumption / /

Organization

National Science Foundation / Environmental Protection Agency / North Carolina State University / Department of Statistics / /

Person

M. Fuentes / B. Reich / Brian Reich / Tiago / /

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Position

Fisher / nonparametric model for extremes / Professor of Statistics / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

Florida / Minnesota / /

Region

central United States / /

Technology

simulation / /

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