TY - JOUR
T1 - Excursion Sets of Infinitely Divisble Random Fields with Convolution Equivalent Lévy Measure
AU - Rønn-Nielsen, Anders
AU - Jensen, Eva B. Vedel
PY - 2017
Y1 - 2017
N2 - We consider a continuous, infinitely divisible random field in ℝ d , d = 1, 2, 3, given as an integral of a kernel function with respect to a Lévy basis with convolution equivalent Lévy measure. For a large class of such random fields, we compute the asymptotic probability that the excursion set at level x contains some rotation of an object with fixed radius as x → ∞. Our main result is that the asymptotic probability is equivalent to the right tail of the underlying Lévy measure.
AB - We consider a continuous, infinitely divisible random field in ℝ d , d = 1, 2, 3, given as an integral of a kernel function with respect to a Lévy basis with convolution equivalent Lévy measure. For a large class of such random fields, we compute the asymptotic probability that the excursion set at level x contains some rotation of an object with fixed radius as x → ∞. Our main result is that the asymptotic probability is equivalent to the right tail of the underlying Lévy measure.
KW - Convolution equivalence
KW - Excursion set
KW - Infinite divisibility
KW - Lévy-based modelling
KW - Convolution equivalence
KW - Excursion set
KW - Infinite divisibility
KW - Lévy-based modelling
U2 - 10.1017/jpr.2017.37
DO - 10.1017/jpr.2017.37
M3 - Journal article
SN - 0021-9002
VL - 54
SP - 833
EP - 851
JO - Journal of Applied Probability
JF - Journal of Applied Probability
IS - 3
ER -