A novel approach to the analysis of spatial and functional data over complex domains. Issue Volume 32:Issues 2(2020) (2nd April 2020)

• Record Type: Journal Article
• Authors: Sangalli, Laura M.
• Is Part Of: Quality engineering. Volume 32:Issues 2(2020)
• Page Start: 181
• Page End: 190
• Publication Date: 2020-04-02
• Subjects: High-dimensional and complex data -- functional data analysis -- spatial data analysis -- partial differential equations -- spatial regression with differential regularization -- finite elements -- NURBS; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2019.1659357
• Languages: English
• ISSNs: 0898-2112

Abstract

Abstract: Recent years have seen an explosive growth in the recording of increasingly complex and high-dimensional data. Classical statistical methods are often unfit 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.