Mathematics – Probability
Scientific paper
2008-12-24
Annals of Applied Probability 2010, Vol. 20, No. 4, 1205-1218
Mathematics
Probability
Published in at http://dx.doi.org/10.1214/09-AAP664 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Inst
Scientific paper
10.1214/09-AAP664
Positive $T$-martingales were developed as a general framework that extends the positive measure-valued martingales and are meant to model intermittent turbulence. We extend their scope by allowing the martingale to take complex values. We focus on martingales constructed on the interval $T=[0,1]$ and replace random measures by random functions. We specify a large class of such martingales for which we provide a general sufficient condition for almost sure uniform convergence to a nontrivial limit. Such a limit yields new examples of naturally generated multifractal processes that may be of use in multifractal signals modeling.
Barral Julien
Jin Xiong
Mandelbrot Benoit B.
No associations
LandOfFree
Uniform convergence for complex $[\mathbf{0,1}]$-martingales does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Uniform convergence for complex $[\mathbf{0,1}]$-martingales, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Uniform convergence for complex $[\mathbf{0,1}]$-martingales will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-396525