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• W2912786006 abstract "We establish exponential inequalities and Cramer-type moderate deviation theorems for a class of V-statistics under strong mixing conditions. Our theory is developed via kernel expansion based on random Fourier features. This type of expansion is new and useful for handling many notorious classes of kernels. While the developed theory has a number of applications, we apply it to lasso-type semiparametric regression estimation and high-dimensional multiple hypothesis testing." @default.
• W2912786006 created "2019-02-21" @default.
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• W2912786006 date "2019-02-07" @default.
• W2912786006 modified "2023-09-27" @default.
• W2912786006 title "Tail behavior of dependent V-statistics and its applications" @default.
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• W2912786006 hasPublicationYear "2019" @default.
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