1 citations · 1 across the 5 of their papers we have counts for
15 papers
Vecchia Approximations and Optimization for Multivariate Matérn Models
Youssef Fahmy, Joseph Guinness
We describe our implementation of the multivariate Matérn model for multivariate spatial datasets, using Vecchia's approximation and a Fisher scoring optimization algorithm. We con…
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…
Ordered conditional approximation of Potts models
Anirban Chakraborty, Matthias Katzfuss, Joseph Guinness
Potts models, which can be used to analyze dependent observations on a lattice, have seen widespread application in a variety of areas, including statistical mechanics, neuroscienc…
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…
Inverses of Matern Covariances on Grids
Joseph Guinness
We conduct a study of the aliased spectral densities of Matérn covariance functions on a regular grid of points, providing clarity on the properties of a popular approximation base…
Mean-dependent nonstationary spatial models
Geoffrey Colin Lee Peterson, Joseph Guinness, Adam Terando +1
Nonstationarity is a major challenge in analyzing spatial data. For example, daily precipitation measurements may have increased variability and decreased spatial smoothness in are…