Depth-based nonparametric description of functional data, with emphasis on use of spatial depth
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Publication:1658519
DOI10.1016/j.csda.2016.07.007zbMath1466.62192OpenAlexW2489577344MaRDI QIDQ1658519
Uditha Wijesuriya, Robert J. Serfling
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.07.007
Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10)
Related Items
Multivariate \(\rho \)-quantiles: a spatial approach, 2nd special issue on robust analysis of complex data, Monotonicity properties of spatial depth, Statistical depth in abstract metric spaces, Nonparametric depth and quantile regression for functional data, Directional outlyingness for multivariate functional data, Flexible quantile contour estimation for multivariate functional data: beyond convexity, On projection methods for functional time series forecasting
Uses Software
Cites Work
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