arXiv · 1904.07296
Limit theorems for U-statistics of Bernoulli data
Abstract
In this paper, we consider U-statistics whose data is a strictly stationary sequence which can be expressed as a functional of an i.i.d. one. We establish a strong law of large numbers, a bounded law of the iterated logarithms and a central limit theorem under a dependence condition. The main ingredients for the proof are an approximation by U-statistics whose data is a functional of $\ell$ i.i.d. random variables and an analogue of the Hoeffding's decomposition for U-statistics of this type.
Explore related subjects
Keep this discovery
Davide Giraudo. 2019-04-15. Limit theorems for U-statistics of Bernoulli data. https://doi.org/10.30757/alea.v18-29
Cite the original work for its findings. Save a collection to share your selection of sources.