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08/13/2023
Imputation of missing data using multivariate Gaussian Linear Cluster-Weighted Modeling
Missing data arises when certain values are not recorded or observed for...
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08/16/2022
An unified framework for point-level, areal, and mixed spatial data: the Hausdorff-Gaussian Process
More realistic models can be built taking into account spatial dependenc...
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10/24/2021
Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling
Missing data theory deals with the statistical methods in the occurrence...
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08/16/2020
Alleviating Spatial Confounding in Spatial Frailty Models
Spatial confounding is how is called the confounding between fixed and s...
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06/12/2019