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- W2053304414 abstract "We consider a multivariate density model where we estimate the excess mass of the unknown probability density f at a given level ν>0 from n i.i.d. observed random variables. This problem has several applications such as multimodality testing, density contour clustering, anomaly detection, classification and so on. For the first time in the literature we estimate the excess mass as an integrated functional of the unknown density f. We suggest an estimator and evaluate its rate of convergence, when f belongs to general Besov smoothness classes, for several risk measures. A particular care is devoted to implementation and numerical study of the studied procedure. It appears that our procedure improves the plug-in estimator of the excess mass." @default.
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- W2053304414 date "2007-01-01" @default.
- W2053304414 modified "2023-09-26" @default.
- W2053304414 title "Functional approach for excess mass estimation in the density model" @default.
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- W2053304414 doi "https://doi.org/10.1214/07-ejs079" @default.
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