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dc.contributor.authorQu, Zhuo
dc.contributor.authorGenton, Marc G.
dc.date.accessioned2022-04-21T13:40:37Z
dc.date.available2021-03-24T06:49:05Z
dc.date.available2022-04-21T13:40:37Z
dc.date.issued2022-04-19
dc.identifier.citationQu, Z., & Genton, M. G. (2022). Sparse Functional Boxplots for Multivariate Curves. Journal of Computational and Graphical Statistics, 1–30. https://doi.org/10.1080/10618600.2022.2066680
dc.identifier.issn1061-8600
dc.identifier.issn1537-2715
dc.identifier.doi10.1080/10618600.2022.2066680
dc.identifier.urihttp://hdl.handle.net/10754/668221
dc.description.abstractThis paper introduces the sparse functional boxplot and the intensity sparse functional boxplot as practical exploratory tools. Besides being available for complete functional data, they can be used in sparse univariate and multivariate functional data. The sparse functional boxplot, based on the functional boxplot, displays sparseness proportions within the 50% central region. The intensity sparse functional boxplot indicates the relative intensity of fitted sparse point patterns in the central region. The two-stage functional boxplot, which derives from the functional boxplot to detect outliers, is furthermore extended to its sparse form. We also contribute to sparse data fitting improvement and sparse multivariate functional data depth. In a simulation study, we evaluate the goodness of data fitting, several depth proposals for sparse multivariate functional data, and compare the results of outlier detection between the sparse functional boxplot and its two-stage version. The practical applications of the sparse functional boxplot and intensity sparse functional boxplot are illustrated with two public health datasets. Supplementary materials and codes are available for readers to apply our visualization tools and replicate the analysis
dc.description.sponsorshipThis research was supported by the King Abdullah University of Science and Technology (KAUST)
dc.publisherInforma UK Limited
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/10618600.2022.2066680
dc.rightsArchived with thanks to Journal of Computational and Graphical Statistics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleSparse Functional Boxplots for Multivariate Curves
dc.typeArticle
dc.contributor.departmentSpatio-Temporal Statistics and Data Analysis Group
dc.contributor.departmentStatistics
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentStatistics Program
dc.identifier.journalJournal of Computational and Graphical Statistics
dc.rights.embargodate2023-04-19
dc.eprint.versionPost-print
dc.identifier.pages1-30
dc.identifier.arxivid2103.07868
kaust.personQu, Zhuo
kaust.personGenton, Marc G.
refterms.dateFOA2021-03-24T06:50:03Z


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