0n the Domain Of Attraction of Stable and of Extreme Value Distributions
A backward particle interpretation of Feynman-Kac formulae
We design a particle interpretation of Feynman-Kac measures on path spaces based on a backward Markovian representation combined with a traditional mean field particle interpretation of the flow of their final time marginals. In contrast to traditional genealogical tree based models, these new particle algorithms can be used to compute normalized additive functionals “on-the-fly” as well as their limiting occupation measures with a given precision degree that does not depend on the final time horizon. We...
A bound on the deviation probability for sums of non-negative random variables.
A Central Limit Theorem for Approximate Martingale Arrays with Values in a Locally Compact Abelian Group.
A central limit theorem for independent summands
A central limit theorem for non stationary mixing processes
A central limit theorem for piecewise convex transformations of the unit interval
A central limit theorem for processes generated by a family of transformations [Book]
A central limit theorem for random fields.
A central limit theorem for random walks in random labyrinths
A central limit theorem for sums of a random number of independent random variables
A central limit theorem for the asymmetric simple exclusion process
A central limit theorem for triangular arrays of weakly dependent random variables, with applications in statistics
We derive a central limit theorem for triangular arrays of possibly nonstationary random variables satisfying a condition of weak dependence in the sense of Doukhan and Louhichi [Stoch. Proc. Appl. 84 (1999) 313–342]. The proof uses a new variant of the Lindeberg method: the behavior of the partial sums is compared to that of partial sums of dependent Gaussian random variables. We also discuss a few applications in statistics which show that our central limit theorem is tailor-made for statistics...
A central limit theorem for two-dimensional random walks in a cone
We prove that a planar random walk with bounded increments and mean zero which is conditioned to stay in a cone converges weakly to the corresponding Brownian meander if and only if the tail distribution of the exit time from the cone is regularly varying. This condition is satisfied in many natural examples.
A central limit theorem for weighted averages of spins in the high temperature region of the Sherrington-Kirkpatrick model.
A central limit theorem on the space of positive definite symmetric matrices
A central limit theorem is proved on the space of positive definite symmetric matrices. To do this, some natural analogs of the mean and dispersion on are defined and investigated. One uses a Taylor expansion of the spherical functions on .
A Characterisation of Chebyshev-Cramer Expansions.
A class of strong limit theorems for countable nonhomogeneous Markov chains on the generalized gambling system
In this paper, we study the limit properties of countable nonhomogeneous Markov chains in the generalized gambling system by means of constructing compatible distributions and martingales. By allowing random selection functions to take values in arbitrary intervals, the concept of random selection is generalized. As corollaries, some strong limit theorems and the asymptotic equipartition property (AEP) theorems for countable nonhomogeneous Markov chains in the generalized gambling system are established....
A connection between controlled Markov chains and martingales
A continuous mapping theorem for the argmin-set functional with applications to convex stochastic processes
For lower-semicontinuous and convex stochastic processes and nonnegative random variables we investigate the pertaining random sets of all -approximating minimizers of . It is shown that, if the finite dimensional distributions of the converge to some and if the converge in probability to some constant , then the converge in distribution to in the hyperspace of Vietoris. As a simple corollary we obtain an extension of several argmin-theorems in the literature. In particular, in...