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Limit theorems for supremum of Gaussian processes over a random interval
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作者 LIN Fu-ming PENG Zuo-xiang 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2018年第3期335-343,共9页
Let {X(t), t ≥ 0} be a centered stationary Gaussian process with correlation r(t)such that 1-r(t) is asymptotic to a regularly varying function. With T being a nonnegative random variable and independent of X(t), the... Let {X(t), t ≥ 0} be a centered stationary Gaussian process with correlation r(t)such that 1-r(t) is asymptotic to a regularly varying function. With T being a nonnegative random variable and independent of X(t), the exact asymptotics of P(sup_(t∈[0,T])X(t) > x) is considered, as x → ∞. 展开更多
关键词 stationary Gaussian process supremum of a process regularly varying functions random intervals
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On the Seneta Sequences
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作者 Dragan DJURI Aleksandar TORGAEV 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2006年第3期689-692,共4页
In this paper, we prove some properties of the Seneta sequences and functions, and in particular we prove a representation theorem in the Karamata sense for the sequences from the Seneta class SOc.
关键词 regularly varying functions and sequences Seneta functions and sequences Representation theorem
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Limsup Results and LIL for Partial Sum Processes of a Gaussian Random Field 被引量:1
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作者 Yong-Kab CHOI Mikls CSRG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2008年第9期1497-1506,共10页
Let {&#958;<SUB> j </SUB>; j &#8712; &#8484;<SUB>+</SUB><SUP> d </SUP>be a centered stationary Gaussian random field, where &#8484;<SUB>+</SUB><SUP>... Let {&#958;<SUB> j </SUB>; j &#8712; &#8484;<SUB>+</SUB><SUP> d </SUP>be a centered stationary Gaussian random field, where &#8484;<SUB>+</SUB><SUP> d </SUP>is the d-dimensional lattice of all points in d-dimensional Euclidean space &#8477;<SUP>d</SUP>, having nonnegative integer coordinates. For each j = (j <SUB>1 </SUB>, ..., jd) in &#8484;<SUB>+</SUB><SUP> d </SUP>, we denote |j| = j <SUB>1 </SUB>... j <SUB>d </SUB>and for m, n &#8712; &#8484;<SUB>+</SUB><SUP> d </SUP>, define S(m, n] = &#931;<SUB> m【j&#8804;n </SUB>&#950;<SUB> j </SUB>, &#963;<SUP>2</SUP>(|n&#8722;m|) = ES <SUP>2 </SUP>(m, n], S <SUB>n </SUB>= S(0, n] and S <SUB>0 </SUB>= 0. Assume that &#963;(|n|) can be extended to a continuous function &#963;(t) of t 】 0, which is nondecreasing and regularly varying with exponent &#945; at b &#8805; 0 for some 0 【 &#945; 【 1. Under some additional conditions, we study limsup results for increments of partial sum processes and prove as well the law of the iterated logarithm for such partial sum processes. 展开更多
关键词 stationary Gaussian random field regularly varying function large deviation probability law of the iterated logarithm
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Path properties of l_p-valued Gaussian random fields
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作者 Yong-Kab CHOI Miklós CSRGO 《Science China Mathematics》 SCIE 2007年第10期1501-1520,共20页
关键词 l^p-valued Gaussian random field modulus of continuity large deviation probability regularly varying function
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