Title
Non-gaussian distributions
Abstract
In this work, we study some problems about non-gaussian distributions, “hyper” or “hypo” diffusions where the β order moments are of type t β/α with β and α belonging to R + ∗ . We introduce signed measures corresponding to these diffusions on R , inspired by the classical techniques in the brownian case. We examine some specific cases of “hyper” and “hypo” diffusions and we propose a generalization of ITO formula for non-gaussian diffusions. Finally, we give a numerical method based on Discrete Fourier Transforms (DFTs) for the resolution of an “anomalous diffusion equation”.
Year
DOI
Venue
2000
10.1016/S0096-3003(99)00029-6
Applied Mathematics and Computation
Keywords
DocType
Volume
fractional calculus,fractionnal brownian motion,diffusion equation,stable processes,brownian motion,fractional brownian motion,numerical method,anomalous diffusion,discrete fourier transform,stable process,gaussian distribution
Journal
109
Issue
ISSN
Citations 
2
Applied Mathematics and Computation
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Michèle Mastrangelo100.34
Victor Mastrangelo200.34
Jean-Marie Teuler300.34