Exponential tightness plays a crucial role in large deviations; in fact this condition is often required to obtain the large deviation principle for a sequence of random variables taking values on an infinite dimensional topological space. In this paper we present some conditions which yield the exponential tightness of a sequence of continuous Gaussian processes. Moreover we check these conditions for some sequences of weighted means.
Macci, C., Pacchiarotti, B. (2017). Exponential tightness for Gaussian processes, with applications to some sequences of weighted means. STOCHASTICS, 89(2), 469-484 [10.1080/17442508.2016.1248968].
Exponential tightness for Gaussian processes, with applications to some sequences of weighted means
MACCI, CLAUDIO;PACCHIAROTTI, BARBARA
2017-01-01
Abstract
Exponential tightness plays a crucial role in large deviations; in fact this condition is often required to obtain the large deviation principle for a sequence of random variables taking values on an infinite dimensional topological space. In this paper we present some conditions which yield the exponential tightness of a sequence of continuous Gaussian processes. Moreover we check these conditions for some sequences of weighted means.File | Dimensione | Formato | |
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