Publication:
A Depth for Censured Functional Data

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URI: https://hdl.handle.net/10016/28579
ISSN: 2387-0303
UXXI: DT/0000001715
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ws201909.pdf (2.4 MB)
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2019-07-10
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Abstract
Censured functional data are becoming more recurrent in applications. In those cases, the existing depth measure are useless. In this paper, an approach for measuring depths of censured functional data is presented. Its performance for finite samples is tested by simulation, showing that the new depth agrees with a integrated depth for uncensured functional data.
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Functional Data, Partially Observed Data, Integrated Depth
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DES - Working Papers. Statistics and Econometrics. WS