Showing 21 - 30 of 45
Persistent link: https://www.econbiz.de/10014621451
For a suitable definition of the local time of a random walk strong invariance principles are proved, saying that this local time is like that of a Wiener process. Consequences of these results are LIL statements for the local time of a general enough class of random walks. One of the tools for...
Persistent link: https://www.econbiz.de/10008874929
We establish moduli of continuity and large increment properties for stationary increment Gaussian processes in order to study the path behavior of infinite series of independent Ornstein-Uhlenbeck processes. The existence and continuity of the latter infinite series type Gaussian processes are...
Persistent link: https://www.econbiz.de/10008875552
Persistent link: https://www.econbiz.de/10006441151
We give strong results for the maximal number of points of a d-dimensional Poisson process in cubes of volume VT contained in [0, T]d for the case where VT is below the Erdös-Réyni range, i.e. VT = o(log T).
Persistent link: https://www.econbiz.de/10005137988
{W(x, y), x>=0, y>=0} be a Wiener process and let [eta](u, (x, y)) be its local time. The continuity of [eta] in (x, y) is investigated, i.e., an upper estimate of the process [eta]([mu], [x, x + [alpha]) - [y, y + [beta])) is given when [alpha][beta] is small.
Persistent link: https://www.econbiz.de/10005221291
Persistent link: https://www.econbiz.de/10005251562
A particle system on d is considered whose evolution is as follows. At each unit of time each particle independently is replaced by a new generation. The size of a new generation descending from a particle at site x has a distribution and each of its members independently jump to a neighbouring...
Persistent link: https://www.econbiz.de/10005254199
The area of the largest circle around the origin completely covered by a simple symmetric plane random walk is investigated.
Persistent link: https://www.econbiz.de/10005199837
Let X1, X2... be a sequence of positive, independent, identically distributed (i.i.d.) random variables with S0 = 0, Sn = X1 + ... + Xn, n [greater-or-equal, slanted] 1. Denote by [tau]i = sup{nSn [less-than-or-equals, slant] t }. In this paper we establish almost sure lower and upper bounds for...
Persistent link: https://www.econbiz.de/10008872724