96 citations · 291 across the 19 of their papers we have counts for
9 papers · 1 filter
Decisions, decisions, decisions in an uncertain environment
Noel Cressie
Decision-makers abhor uncertainty, and it is certainly true that the less there is of it the better. However, recognizing that uncertainty is part of the equation, particularly for…
Basis-Function Models in Spatial Statistics
Noel Cressie, Matthew Sainsbury-Dale, Andrew Zammit-Mangion
Spatial statistics is concerned with the analysis of data that have spatial locations associated with them, and those locations are used to model statistical dependence between the…
Spatial Statistics
Noel Cressie, Matthew T. Moores
Spatial statistics is an area of study devoted to the statistical analysis of data that have a spatial label associated with them. Geographers often refer to the "location informat…
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations
Quan Vu, Andrew Zammit-Mangion, Noel Cressie
Multivariate spatial-statistical models are often used when modeling environmental and socio-demographic processes. The most commonly used models for multivariate spatial covarianc…
False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data
Hsin-Cheng Huang, Noel Cressie, Andrew Zammit-Mangion +1
There are a number of ways to test for the absence/presence of a spatial signal in a completely observed fine-resolution image. One of these is a powerful nonparametric procedure c…
Capturing Multivariate Spatial Dependence: Model, Estimate and then Predict
Noel Cressie, Sandy Burden, Walter Davis +4
Physical processes rarely occur in isolation, rather they influence and interact with one another. Thus, there is great benefit in modeling potential dependence between both spatia…