Bayesian nonstationary and nonparametric covariance estimation for large spatial data (with discussion)
B Kidd, M Katzfuss - Bayesian Analysis, 2022 - projecteuclid.org
In spatial statistics, it is often assumed that the spatial field of interest is stationary and its
covariance has a simple parametric form, but these assumptions are not appropriate in …
covariance has a simple parametric form, but these assumptions are not appropriate in …
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks
Spatial processes observed in various fields, such as climate and environmental science,
often occur at large-scale and demonstrate spatial nonstationarity. However, fitting a …
often occur at large-scale and demonstrate spatial nonstationarity. However, fitting a …
Modeling and Predicting Spatio-temporal Dynamics of PM Concentrations Through Time-evolving Covariance Models
Fine particulate matter (PM $ _ {2.5} $) has become a great concern worldwide due to its
adverse health effects. PM $ _ {2.5} $ concentrations typically exhibit complex spatio …
adverse health effects. PM $ _ {2.5} $ concentrations typically exhibit complex spatio …
Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components
SL Tzeng, BY Chen, HC Huang - Journal of Agricultural, Biological and …, 2024 - Springer
In this research, we propose a novel technique for visualizing nonstationarity in geostatistics,
particularly when confronted with a single realization of data at irregularly spaced locations …
particularly when confronted with a single realization of data at irregularly spaced locations …
Directed Graphs and Applications
BJ Kidd - 2022 - oaktrust.library.tamu.edu
Directed graphs have widespread applicability, so there is continued need for both
computational and theoretical improvements. We extend the standard methodology in three …
computational and theoretical improvements. We extend the standard methodology in three …
Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields
GA Qadir - 2021 - repository.kaust.edu.sa
The modeling of spatio-temporal and multivariate spatial random fields has been an
important and growing area of research due to the increasing availability of spacetime …
important and growing area of research due to the increasing availability of spacetime …