A novel approach to the analysis of spatial and functional data over complex domains

Keywords

Statistical learning
Code:
47/2020
Title:
A novel approach to the analysis of spatial and functional data over complex domains
Date:
Tuesday 21st July 2020
Author(s):
Sangalli, L.M.
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Abstract:
Recent years have seen an explosive growth in the recording of increasingly complex and high-dimensional data. Classical statistical methods are often un t to handle such data, whose analysis calls for the definition of new methods merging ideas and approaches from statistics, applied mathematics and engineering. This work in particular focuses on data displaying complex spatial dependencies, where the complexity can for instance be due to the complex physics of the problem or the non-trivial conformation of the domain where the data are observed.
This report, or a modified version of it, has been also submitted to, or published on
Quality Engineering, 32, 2, 181-190, followed by discussions and a rejoinder by the author