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Tests of concentration for low-dimensional and high-dimensional directional data
Cutting, Christine; Paindaveine, Davy; Verdebout, Thomas - 2015
Persistent link: https://www.econbiz.de/10011289146
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Detecting the direction of a signal on high-dimensional spheres : non-null and Le Cam optimality results
Paindaveine, Davy; Verdebout, Thomas - 2017
Persistent link: https://www.econbiz.de/10011760441
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On multivariate runs tests for randomness
Paindaveine, Davy - In: Journal of the American Statistical Association : JASA 104 (2009) 488, pp. 1525-1538
Persistent link: https://www.econbiz.de/10003993023
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Nonparametric measure-transportation-based methods for directional data
Hallin, Marc; Liu, Hang; Verdebout, Thomas - 2022
Persistent link: https://www.econbiz.de/10013208921
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Testing for auto-calibration with Lorenz and Concentration curves
Denuit, Michel; Huyghe, Julie; Trufin, Julien; … - In: Insurance : mathematics and economics 117 (2024), pp. 130-139
Persistent link: https://www.econbiz.de/10015066959
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Pseudo-Gaussian and rank-based optimal tests for random individual effects in large small panels
Bennala, Nezar; Hallin, Marc; Paindaveine, Davy - In: Journal of econometrics 170 (2012) 1, pp. 50-67
Persistent link: https://www.econbiz.de/10009673156
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From halfspace M‐depth to multiple‐output expectile regression
Daouia, Abdelaati; Paindaveine, Davy - 2019
Persistent link: https://www.econbiz.de/10012181883
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Tyler shape depth
Paindaveine, Davy; Van Bever, Germain - 2017
Persistent link: https://www.econbiz.de/10011760354
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Distance-based depths for directional data
Pandolfo, Giuseppe; Paindaveine, Davy; Porzio, Giovanni - 2017
Persistent link: https://www.econbiz.de/10011760392