Título: Strong Approximation for Mixing Sequences with Infinite Variance
Autores: Balan, Raluca; University of Ottawa, Canada
Zamfirescu, Ingrid-Mona; City University of New York, USA
Fecha: 2006-01-01
Publicador: Electronic communications in probability
Fuente:
Tipo: Peer-reviewed Article

Tema: No aplica
Descripción: In this paper we prove a strong approximation result for a mixing sequence with infinite variance and logarithmic decay rate of the mixing coefficient. The result is proved under the assumption that the distribution is symmetric and lies in the domain of attraction of the normal law. Moreover the truncated variance function is supposed to be slowly varying with log-log type remainder.
Idioma: No aplica

Artículos similares:

Simulations and Conjectures for Disconnection Exponents por Puckette, Emily E.; Occidental College,Werner, Wendelin; Université Paris-Sud and IUF
A Proof of a Conjecture of Bobkov and Houdré por Kwapien, S.; Warsaw University,Pycia, M.; Warsaw University,Schachermayer, W.; University of Vienna
Excursions Into a New Duality Relation for Diffusion Processes por Jansons, Kalvis M.; University College London
Moderate Deviations for Martingales with Bounded Jumps por Dembo, Amir; Stanford University
Percolation Beyond $Z^d$, Many Questions And a Few Answers por Benjamini, Itai; Weizmann Institute of Science,Schramm, Oded; Microsoft Research
Bounds for Disconnection Exponents por Werner, Wendelin; Université Paris-Sud and IUF
Transportation Approach to Some Concentration Inequalities in Product Spaces por Dembo, Amir; Stanford University,Zeitouni, Ofer; Technion - Israel Institute of Technology
The Dimension of the Frontier of Planar Brownian Motion por Lawler, Gregory F.; Duke University
10 
Surface Stretching for Ornstein Uhlenbeck Velocity Fields por Carmona, Rene; Princeton University,Grishin, Stanislav; Princeton University,Xu, Lin; Princeton University,Molchanov, Stanislav; University of North Carolina at Charlotte