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A quenched weak invariance principle

Jérôme Dedecker, Florence Merlevède, Magda Peligrad (2014)

Annales de l'I.H.P. Probabilités et statistiques

In this paper we study the almost sure conditional central limit theorem in its functional form for a class of random variables satisfying a projective criterion. Applications to strongly mixing processes and nonirreducible Markov chains are given. The proofs are based on the normal approximation of double indexed martingale-like sequences, an approach which has interest in itself.

A remarkably interesting, simple P.D.E.

Daniel W. Stroock (2006)

Banach Center Publications

In this note, I will summarize and make a couple of small additions to some results which I obtained earlier with David Williams in [1]. Williams and I hope to expand and refine these additions in a future paper based on work that is still in process.

A representation formula for large deviations rate functionals of invariant measures on the one dimensional torus

Alessandra Faggionato, Davide Gabrielli (2012)

Annales de l'I.H.P. Probabilités et statistiques

We consider a generic diffusion on the 1D torus and give a simple representation formula for the large deviation rate functional of its invariant probability measure, in the limit of vanishing noise. Previously, this rate functional had been characterized by M. I. Freidlin and A. D. Wentzell as solution of a rather complex optimization problem. We discuss this last problem in full generality and show that it leads to our formula. We express the rate functional by means of a geometric transformation...

A Riemann approach to random variation

Patrick Muldowney (2006)

Mathematica Bohemica

This essay outlines a generalized Riemann approach to the analysis of random variation and illustrates it by a construction of Brownian motion in a new and simple manner.

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