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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… Click to show full 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.
Keywords:
exponential inequalities;
random fourier;
inequalities dependent;
dependent statistics;
fourier features;
statistics via
Journal Title: Electronic Journal of Probability
Year Published: 2020
Link to full text (if available)
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Journal Title: Electronic Journal of Probability
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!