Results 11 to 20 of about 14,433 (200)
An Overview of Kriging and Cokriging Predictors for Functional Random Fields
Mathematics, 2023 This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo +2 more
doaj +5 more sources
Kriging and Prediction of Nonlinear Functionals
Austrian Journal of Statistics, 2016 The prediction of a nonlinear functional of a random field is studied. The covariance-matching constrained kriging is considered. It is proved that the optimization problem induced by it always has a solution. The proof is constructive and it provides an
Alexander Kukush, István Fazekas
doaj +3 more sources
Sparse estimation in kriging for functional data
Stochastic Environmental Research and Risk Assessment, 2023 We introduce a sparse estimation in the ordinary kriging for functional data. The functional kriging predicts a feature given as a function at a location where the data are not observed by a linear combination of data observed at other locations. To estimate the weights of the linear combination, we apply the lasso-type regularization in minimizing the
Hidetoshi Matsui
exaly +4 more sources
Prediction of spatial functional random processes: comparing functional and spatio-temporal kriging approaches [PDF]
Stochastic Environmental Research and Risk Assessment, 2019 33 pages, 11 ...
Johan Strandberg +2 more
exaly +5 more sources
Kriging with external drift for functional data for air quality monitoring [PDF]
Stochastic Environmental Research and Risk Assessment, 2013 Functional data featured by a spatial dependence structure occur in many environmental sciences when curves are observed, for example, along time or along depth. Recently, some methods allowing for the prediction of a curve at an unmonitored site have been developed.
Rosaria Ignaccolo +2 more
exaly +4 more sources
Pointwise consistency of the kriging predictor with known mean and covariance functions
, 2009 This paper deals with several issues related to the pointwise consistency of the kriging predictor when the mean and the covariance functions are known. These questions are of general importance in the context of computer experiments.
D. Williams +10 more
core +5 more sources
Bootstrap based uncertainty bands for prediction in functional kriging [PDF]
Spatial Statistics, 2016 The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria +1 more
core +5 more sources
Extending Functional kriging to a multivariate context [PDF]
, 2020 Environmental data usually have a spatio-temporal structure; pollutant concentrations, for example, are recorded along time and space. Generalized Additive Models (GAMs) represent a suitable tool to model spatial and/or temporal trends of this kind of ...
antonella plaia +2 more
core +3 more sources
Ordinary kriging for function-valued spatial data
Environmental and Ecological Statistics, 2010 In various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor.
Pedro Delicado, Jorge Mateu
exaly +4 more sources
A maximal-coverage approach to prioritizing newborn sickle cell screening sites in Uganda using a sickle cell-malaria co-risk surface [PDF]
Malaria JournalBackground Uganda has a high, spatially heterogeneous burden of sickle cell disease (SCD) with national screening indicating sickle cell trait at 13.1 percent and disease at 0.7 percent, concentrated in the northern and eastern regions where Plasmodium ...
George Paasi +8 more
doaj +2 more sources