activity
20132024
most citedA general framework for Vecchia approximations of Gaussian processes

189 citations · 522 across the 27 of their papers we have counts for

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7 papers · 1 filter

stat.AP2022

Comparison of CYGNSS and Jason-3 Wind Speed Measurements via Gaussian Processes

William Bekerman, Joseph Guinness

Wind is a critical component of the Earth system and has unmistakable impacts on everyday life. The CYGNSS satellite mission improves observational coverage of ocean winds via a fl…

stat.AP2021

Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations

Megan L. Gelsinger, Maryclare Griffin, David S. Matteson +1

Lightning is a destructive and highly visible product of severe storms, yet there is still much to be learned about the conditions under which lightning is most likely to occur. Th…

stat.AP2020★ 16 cited

An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance

Joseph Guinness, Debasmita Bhattacharya, Jenny Chen +2

We collected marathon performance data from a systematic sample of elite and sub-elite athletes over the period 2015 to 2019, then searched the internet for publicly-available phot…

stat.AP2019★ 7 cited

Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models

Indranil Sahoo, Joseph Guinness, Brian J. Reich

Geostationary satellites collect high-resolution weather data comprising a series of images which can be used to estimate wind speed and direction at different altitudes. The Deriv…

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

An Evolutionary Spectrum Approach to Incorporate Large-scale Geographical Descriptors on Global Processes

Stefano Castruccio, Joseph Guinness

We introduce a nonstationary spatio-temporal statistical model for gridded data on the sphere. The model specifies a computationally convenient covariance structure that depends on…

stat.AP2013★ 14 cited

Interpolation of nonstationary high frequency spatial-temporal temperature data

Joseph Guinness, Michael L. Stein

The Atmospheric Radiation Measurement program is a U.S. Department of Energy project that collects meteorological observations at several locations around the world in order to stu…