Gaussian process;
excursion set;
large deviations;
exceedence probabilities;
connected component;
optimal path;
energy of measures;
D O I:
10.1214/12-AOP794
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 structure of Gaussian random fields over high levels is a well researched and well understood area, particularly if the field is smooth. However, the question as to whether or not two or more points which lie in an excursion set belong to the same connected component has constantly eluded analysis. We study this problem from the point of view of large deviations, finding the asymptotic probabilities that two such points are connected by a path laying within the excursion set, and so belong to the same component. In addition, we obtain a characterization and descriptions of the most likely paths, given that one exists.
机构:
VU Inst Data Sci & Digital Technol, Akad Str 4, LT-08663 Vilnius, LithuaniaVU Inst Data Sci & Digital Technol, Akad Str 4, LT-08663 Vilnius, Lithuania
Rudzkis, Rimantas
Bakshaev, Aleksej
论文数: 0引用数: 0
h-index: 0
机构:
VU Inst Data Sci & Digital Technol, Akad Str 4, LT-08663 Vilnius, LithuaniaVU Inst Data Sci & Digital Technol, Akad Str 4, LT-08663 Vilnius, Lithuania
机构:
Lomonosov Moscow State Univ, Moscow, Russia
Natl Res Univ Higher Sch Econ, Int Lab Stochast Anal & Its Applicat, Moscow, Russia
Russian Acad Sci, Sci Res Inst Syst Anal, Moscow, RussiaLomonosov Moscow State Univ, Moscow, Russia