Spatial-temporal mesoscale modelling of rainfall intensity using gage and radar data ∗ Montserrat Fuentes, Brian Reich, Gywon Lee SUMMARY Gridded estimated rainfall intensity values at very high spatial and temporal re

Source URL: www4.stat.ncsu.edu

Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY

Source URL: www4.stat.ncsu.edu

Nonparametric Bayesian models for a spatial covariance Brian J Reich1 and Montserrat Fuentes Department of Statistics North Carolina State University January 11, 2011

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Circular Conditional Autoregressive Modeling of Vector Fields ∗ Danny Modlin, Montse Fuentes, Brian Reich

Source URL: www4.stat.ncsu.edu

Spatial-temporal association between fine particulate matter and daily mortality 1 Jungsoon Choi, Montserrat Fuentes, and Brian J. Reich Abstract Fine particulate matter (PM2.5 ) is a mixture of pollutants that has been

Source URL: www4.stat.ncsu.edu

• Actuarial science
• Estimation theory
• Linear regression
• Nonparametric regression
• Air pollution
• Poisson regression
• Generalized linear model
• Spatial epidemiology
• Statistics
• Regression analysis
• Econometrics

Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY

Source URL: www.nrcse.washington.edu

• 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

Microsoft Word - SMA _ BrianFuentes

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• Turlock
• California
• Merced
• California
• Baseball
• Brian Fuentes
• Fuentes

PLAYER Henry Fuentes Mitch Saum Rickey Thomas Brian Ramirez Eddie Brown

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