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    Functional Data Visualization

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    Name:
    WileySTAT-V1.pdf
    Size:
    584.5Kb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Embargo End Date:
    2021-11-04
    Download
    Type
    Book Chapter
    Authors
    Genton, Marc G. cc
    Sun, Ying cc
    KAUST Department
    Statistics Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-11-04
    Embargo End Date
    2021-11-04
    Permanent link to this record
    http://hdl.handle.net/10754/667759
    
    Metadata
    Show full item record
    Abstract
    This article reviews tools to visualize functional data, that is, curves, surfaces/images, and trajectories. These tools are based on ranking functional data by means of notions of depth/outlyingness and make use of methods for functional outlier detections. For univariate functional data, the functional boxplot and surface boxplot are emphasized. For multivariate functional data, the magnitude–shape plot, the two-stage functional boxplot, and the trajectory functional boxplot are described. A bivariate functional dataset of the angles formed by the hip and knee of 39 children over their gait cycles is used throughout for illustration of the various visualization tools.
    Citation
    Genton, M. G., & Sun, Y. (2020). Functional Data Visualization. Wiley StatsRef: Statistics Reference Online, 1–11. doi:10.1002/9781118445112.stat08290
    Sponsors
    This research was supported by the King Abdullah University of Science and Technology (KAUST).
    Publisher
    Wiley
    ISBN
    9781118445112
    DOI
    10.1002/9781118445112.stat08290
    Additional Links
    https://onlinelibrary.wiley.com/doi/10.1002/9781118445112.stat08290
    ae974a485f413a2113503eed53cd6c53
    10.1002/9781118445112.stat08290
    Scopus Count
    Collections
    Book Chapters; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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