FastMUOD indices: theory and applications for outlier detection in FDA.
O. Ojo, R. E. Lillo Rodriguez, A. Fernández Anta
We present theoretical definitions and properties of the FastMUOD indices, used for outlier detection in functional data. FastMUOD detects outliers by computing for each curve: amplitude, magnitude and shape indices meant to target the respective types of outliers. We also provide sample versions of these indices and prove their convergence. We also propose some ideas for adapting FastMUOD indices for outlier detection in multivariate functional data. We test some of these ideas on various simulated and real datasets.
Keywords: outlier detection, functional data, FastMUOD
Scheduled
GT06 Functional Data Analysis II. Tools and apps
June 8, 2022 4:00 PM
Grade Hall
Other papers in the same session
N. Acar Denizli, P. Delicado
C. J. Acal González, A. M. Aguilera del Pino, M. Escabias Machuca
M. Vidal, A. M. Aguilera del Pino
C. Ramos Carreño, J. L. Torrecilla Noguerales, A. Suárez González
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6/8/22
Visit Alhambra
Tomorrow, Thursday, we will visit the Alhambra. 1. At 7:00 p.m., buses will start leaving from the door of the Hotel Granada Center (in front of the door of the Faculty of Sciences) 2. Upon arrival, groups with guides will be organized. 3. There will be groups in English language. These groups will wait at the destination until the arrival of all buses. 4. After the visit to the Alhambra we will walk to the Carmen de los Mártires to have a cocktail. 5. On the way back, we can go back by bus, which will leave from the same place where they left us at the Alhambra. 6. Although the way to the Alhambra by bus seems long, it really is close to the city. We invite you, whoever wishes, to go down for a pleasant walk. 7. Do not forget to take your Alhambra ticket and your identity card or passport. The document must be the same whose number matches the ticket number you have.
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5/31/22
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5/27/22
Gala Dinner
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5/23/22
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5/16/22
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