Abstract
We give upper and lower bounds for the probability for a local extrema of a totally skewed α -stable stochastic process. Often these bounds are sharp and coincide. The Gaussian case α =2 is not excluded, and there our results slightly improve existing general bounds. Applications focus on moving averages and fractional α -stable motions.
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