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An invariance principle for processes indexed by two parameters and some statistical applications。
On a limit theorem and invariance principle for symmetric statistics。
We consider stationary homogeneous Markov chains and the polygonal processes defined by a usual way using such chains. There are many results about invariance principles of those processes. In this...
We study the relationship between the distribution of the supremum functional M, = sup,,,,,(X(t)-fit) for a process X with stationary, but not necessarily independent increments, and the I limiting...
The central limit theorem for the product of sums of various random variables has been studied in a variety of settings. The purpose of this note is to show that this kind of result is a corollary of ...

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