AbstractWe consider the individual points on a Martin-Löf random path of Brownian motion. We show that (1) Khintchine’s law of the iterated logarithm holds at almost all points; and (2) there exist points (besides the trivial example of the origin) having effective dimension <1. The proof of (1) shows that, for almost all times t, the path f is Martin-Löf random relative to t and so the effective dimension of (t,f(t)) is 2
We study a one-dimensional diffusion process in a drifted Brownian potential. We characterize the up...
We consider a standard one-dimensional Brownian motion on the time interval [0,1] conditioned to hav...
AbstractA continuous function x on the unit interval is a generic Brownian motion when every probabi...
We consider the individual points on a Martin-Löf random path of Brownian motion. We show (1) that ...
AbstractWe consider the individual points on a Martin-Löf random path of Brownian motion. We show th...
We investigate the Martin-L�of random sample paths of Brownian motion, applying techniques from algo...
Algorithmic randomness is most often studied in the setting of the fair-coin measure on the Cantor s...
Abstract: We investigate the sample path properties of Martin-Löf random Brow-nian motion. We show ...
AbstractSome function space laws of the iterated logarithm for Brownian motion with values in finite...
In this paper we study the local times of Brownian motion from the point of view of algorithmic rand...
The original publication is available at www.springerlink.comInternational audienceWe pursue the stu...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
AbstractWe present a strong approximation of two-dimensional Kesten–Spitzer random walk in random sc...
We study a one-dimensional diffusion process in a drifted Brownian potential. We characterize the up...
We consider a standard one-dimensional Brownian motion on the time interval [0,1] conditioned to hav...
AbstractA continuous function x on the unit interval is a generic Brownian motion when every probabi...
We consider the individual points on a Martin-Löf random path of Brownian motion. We show (1) that ...
AbstractWe consider the individual points on a Martin-Löf random path of Brownian motion. We show th...
We investigate the Martin-L�of random sample paths of Brownian motion, applying techniques from algo...
Algorithmic randomness is most often studied in the setting of the fair-coin measure on the Cantor s...
Abstract: We investigate the sample path properties of Martin-Löf random Brow-nian motion. We show ...
AbstractSome function space laws of the iterated logarithm for Brownian motion with values in finite...
In this paper we study the local times of Brownian motion from the point of view of algorithmic rand...
The original publication is available at www.springerlink.comInternational audienceWe pursue the stu...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
AbstractWe present a strong approximation of two-dimensional Kesten–Spitzer random walk in random sc...
We study a one-dimensional diffusion process in a drifted Brownian potential. We characterize the up...
We consider a standard one-dimensional Brownian motion on the time interval [0,1] conditioned to hav...
AbstractA continuous function x on the unit interval is a generic Brownian motion when every probabi...