Generování spojitých náhodných procesů
Genetic linkage analysis: An irregular statistical problem.
Geodesics and crossing brownian motion in a soft poissonian potential
Geodesics and recurrence of random walks in disordered systems.
Geometric decomposability properties of probability measures
Geometric ergodicity and hybrid Markov chains.
Geometric ergodicity and perfect simulation.
Geometric ergodicity for a class of Markov chains
Geometric evolution under isotropic stochastic flow.
Geometric infinite divisibility, stability, and self-similarity: an overview
The concepts of geometric infinite divisibility and stability extend the classical properties of infinite divisibility and stability to geometric convolutions. In this setting, a random variable X is geometrically infinitely divisible if it can be expressed as a random sum of components for each p ∈ (0,1), where is a geometric random variable with mean 1/p, independent of the components. If the components have the same distribution as that of a rescaled X, then X is (strictly) geometric stable....
Geometric influences II: Correlation inequalities and noise sensitivity
In a recent paper, we presented a new definition of influences in product spaces of continuous distributions, and showed that analogues of the most fundamental results on discrete influences, such as the KKL theorem, hold for the new definition in Gaussian space. In this paper we prove Gaussian analogues of two of the central applications of influences: Talagrand’s lower bound on the correlation of increasing subsets of the discrete cube, and the Benjamini–Kalai–Schramm (BKS) noise sensitivity theorem....
Geometric interpretation of half-plane capacity.
Geometric probabilities for convex bodies of large revolution in the Euclidean space . II.
Geometric probabilities for non convex lattices. II
We solve problems of Buffon type for a lattice with elementary tile a nonconvex polygon, using as test bodies a line sigment and a circle.
Geometric Stable Laws Through Series Representations
Let (Xi ) be a sequence of i.i.d. random variables, and let N be a geometric random variable independent of (Xi ). Geometric stable distributions are weak limits of (normalized) geometric compounds, SN = X1 + · · · + XN , when the mean of N converges to infinity. By an appropriate representation of the individual summands in SN we obtain series representation of the limiting geometric stable distribution. In addition, we study the asymptotic...
Geometrical probabilities for convex test bodies.
Geometrické pravděpodobnosti [Book]
Géométrie de la courbe brownienne plane
Géométrie différentielle du 2ème ordre, semi-martingales et équations différentielles stochastiques sur une variété différentielle
Géométrie différentielle stochastique, II