Boundary conditions for one-dimensional biharmonic pseudo process.
Boundary potential theory for stable Lévy processes
We investigate properties of harmonic functions of the symmetric stable Lévy process on without the assumption that the process is rotation invariant. Our main goal is to prove the boundary Harnack principle for Lipschitz domains. To this end we improve the estimates for the Poisson kernel obtained in a previous work. We also investigate properties of harmonic functions of Feynman-Kac semigroups based on the stable process. In particular, we prove the continuity and the Harnack inequality for...
Boundary processes : the calculus of processes diffusing on the boundary
Bounded double square functions
We extend some recent work of S. Y. Chang, J. M. Wilson and T. Wolff to the bidisc. For , we determine the sharp order of local integrability obtained when the square function of is in . The Calderón-Torchinsky decomposition reduces the problem to the case of double dyadic martingales. Here we prove a vector-valued form of an inequality for dyadic martingales that yields the sharp dependence on p of in .
Bounded Laws of the Iterated Logarithm for Quadratic Forms in Gaussian Random Variables.
Bounded plateau and Weierstrass martingales with infinite variation in each direction.
Boundedness on stochastic Petri nets.
Stochastic Petri nets generalize the notion of queuing systems and are a useful model in performance evaluation of parallel and distributed systems. We give necessary and sufficient conditions for the boundedness of a stochastic process related to these nets.
Bounds and asymptotic expansions for the distribution of the maximum of a smooth stationary gaussian process
Bounds and asymptotic expansions for the distribution of the Maximum of a smooth stationary Gaussian process
This paper uses the Rice method [18] to give bounds to the distribution of the maximum of a smooth stationary Gaussian process. We give simpler expressions of the first two terms of the Rice series [3,13] for the distribution of the maximum. Our main contribution is a simpler form of the second factorial moment of the number of upcrossings which is in some sense a generalization of Steinberg et al.'s formula ([7] p. 212). Then, we present a numerical application and asymptotic expansions...
Bounds on random infinite urn model.
Branching and interacting particle systems. Approximations of Feynman-Kac formulae with applications to non-linear filtering
Branching processes, random trees and superprocesses.
Branching Processes with Immigration and Integer-valued Time Series
In this paper, we indicate how integer-valued autoregressive time series Ginar(d) of ordre d, d ≥ 1, are simple functionals of multitype branching processes with immigration. This allows the derivation of a simple criteria for the existence of a stationary distribution of the time series, thus proving and extending some results by Al-Osh and Alzaid [1], Du and Li [9] and Gauthier and Latour [11]. One can then transfer results on estimation in subcritical multitype branching processes to stationary...
Branching random walks on binary search trees: convergence of the occupation measure
We consider branching random walks with binary search trees as underlying trees. We show that the occupation measure of the branching random walk, up to some scaling factors, converges weakly to a deterministic measure. The limit depends on the stable law whose domain of attraction contains the law of the increments. The existence of such stable law is our fundamental hypothesis. As a consequence, using a one-to-one correspondence between binary trees and plane trees, we give a description of the...
Brève communication. Obtention des fonctions splines usuelles à l'aide de la théorie des espaces gaussiens
Brownian excursion area, wright's constants in graph enumeration, and other Brownian areas.
Brownian local minima, random dense countable sets and random equivalence classes.
Brownian local times.
Brownian motion and parabolic Anderson model in a renormalized Poisson potential
A method known as renormalization is proposed for constructing some more physically realistic random potentials in a Poisson cloud. The Brownian motion in the renormalized random potential and related parabolic Anderson models are modeled. With the renormalization, for example, the models consistent to Newton’s law of universal attraction can be rigorously constructed.
Brownian motion and random walks on manifolds
We develop a procedure that allows us to “descretise” the Brownian motion on a Riemannian manifold. We construct thus a random walk that is a good approximation of the Brownian motion.