6 citations · 6 across the 3 of their papers we have counts for
3 papers
Scalable modeling of nonstationary covariance functions with non-folding B-spline deformation
Ronaldo Dias, Guilherme Ludwig, Paul Sampson
We propose a method for nonstationary covariance function modeling, based on the spatial deformation method of Sampson and Guttorp [1992], but using a low-rank, scalable deformatio…
A novel principal component analysis for spatially-misaligned multivariate air pollution data
Roman A. Jandarov, Lianne A. Sheppard, Paul D. Sampson +1
We propose novel methods for predictive (sparse) PCA with spatially misaligned data. These methods identify principal component loading vectors that explain as much variability in…
Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution
Casey Olives, Lianne Sheppard, Johan Lindström +3
There is growing evidence in the epidemiologic literature of the relationship between air pollution and adverse health outcomes. Prediction of individual air pollution exposure in…