ORDER-OF-MAGNITUDE BOUNDS FOR EXPECTATIONS INVOLVING QUADRATIC-FORMS
成果类型:
Article
署名作者:
DELAPENA, VH; KLASS, MJ
署名单位:
Columbia University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176988740
发表日期:
1994
页码:
1044-1077
关键词:
independent random-variables
decoupling inequalities
sums
SEQUENCES
摘要:
Let X1, X2, ..., X(n) be independent mean-zero random variables and let a(ij), 1 less-than-or-equal-to i,j less-than-or-equal-or n, be an array of constants with a(ii) = 0. We present a method of obtaining the order of magnitude of EPHI(SIGMA1 less-than-or-equal-to i,j less-than-or-equal-to n a(ij)X(i)X(j)) for any such {X(i)} and {a(ij)} and any nonnegative symmetric (convex) function PHI with PHI(0) = 0 such that, for some integer k greater-than-or-equal-to 0, PHI(x2 - k) is convex and simultaneously PHI(x2-k-1) is concave on [0, infinity). The approximation is based on decoupling inequalities valid for all such mean-zero {X(i)} and reals {a(ij)} and a certain further 'independentization' procedure.