Central limit theorems for random processes with sample paths in exponential Orlicz spaces

Zhonggen Su

Stochastic Processes and their Applications, 1997, vol. 66, issue 1, 1-20

Abstract: This paper is devoted to the study of central limit theorems and the domain of normal attraction for some random processes with sample paths in exponential Orlicz spaces under metric entropy conditions. In particular, the local times of strongly symmetric standard Markov processes and random Fourier series are discussed.

Keywords: Central; limit; theorem; Orlicz; space; Local; times; Random; Fourier; series (search for similar items in EconPapers)
Date: 1997
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