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- W3003526650 abstract "We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via a novel kernel expansion based on random Fourier features and the use of a probabilistic method. This type of expansion is new and useful for handling many notorious classes of kernels." @default.
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- W3003526650 date "2020-01-01" @default.
- W3003526650 modified "2023-09-26" @default.
- W3003526650 title "Exponential inequalities for dependent V-statistics via random Fourier features" @default.
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- W3003526650 doi "https://doi.org/10.1214/20-ejp411" @default.
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