Large deviations;
Long range dependence;
Long memory;
Moving average;
Rate function;
Speed function;
DEPENDENT RANDOM-PROCESSES;
BOUNDS;
D O I:
10.1016/j.spa.2008.02.013
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
The large deviations of an infinite moving average process with exponentially light tails are very similar to those of an i.i.d. sequence as long as the coefficients decay fast enough. If they do not, the large deviations change dramatically. We study this phenomenon in the context of functional large, moderate and huge deviation principles. (C) 2008 Elsevier B.V. All rights reserved.
机构:
Columbia Univ, Dept Stat, New York, NY 10027 USAColumbia Univ, Dept Stat, New York, NY 10027 USA
Ghosh, Souvik
Samorodnitsky, Gennady
论文数: 0引用数: 0
h-index: 0
机构:
Cornell Univ, Sch Operat Res & Informat, Ithaca, NY 14853 USA
Cornell Univ, Dept Stat Sci, Ithaca, NY 14853 USAColumbia Univ, Dept Stat, New York, NY 10027 USA