activity
20072026
most citedA multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields

125 citations · 185 across the 9 of their papers we have counts for

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5 papers · 1 filter

stat.AP2018

Multivariate Spatial-Temporal Variable Selection with Applications to Seasonal Tropical Cyclone Modeling

Marcela Alfaro Córdoba, Montserrat Fuentes, Joseph Guinness +1

Tropical cyclone and sea surface temperature data have been used in several studies to forecast the total number of hurricanes in the Atlantic Basin. Sea surface temperature (SST)…

stat.AP2015★ 12 cited

Quantile regression for mixed models with an application to examine blood pressure trends in China

Luke B. Smith, Montserrat Fuentes, Penny Gordon-Larsen +1

Cardiometabolic diseases have substantially increased in China in the past 20 years and blood pressure is a primary modifiable risk factor. Using data from the China Health and Nut…

stat.AP2009★ 45 cited

Spatial--temporal mesoscale modeling of rainfall intensity using gage and radar data

Montserrat Fuentes, Brian Reich, Gyuwon Lee

Gridded estimated rainfall intensity values at very high spatial and temporal resolution levels are needed as main inputs for weather prediction models to obtain accurate precipita…

stat.AP2009★ 1 cited

Special section on statistics in the atmospheric sciences

Montserrat Fuentes, Peter Guttorp, Michael L. Stein

With the possible exception of gambling, meteorology, particularly precipitation forecasting, may be the area with which the general public is most familiar with probabilistic asse…

stat.AP2007★ 125 cited

A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields

Brian J. Reich, Montserrat Fuentes

Storm surge, the onshore rush of sea water caused by the high winds and low pressure associated with a hurricane, can compound the effects of inland flooding caused by rainfall, le…