Estimates of tempered stable densities Pawe l Sztonyk
ثبت نشده
چکیده
Estimates of densities of convolution semigroups of probability measures are given under specific assumptions on the corresponding Lévy measure and the Lévy–Khinchin exponent. The assumptions are satisfied, e.g., by tempered stable semigroups of J. Rosi´nski.
منابع مشابه
Tempered Stable Distributions and Processes
We investigate the class of tempered stable distributions and their associated processes. Our analysis of tempered stable distributions includes limit distributions, parameter estimation and the study of their densities. Regarding tempered stable processes, we deal with density transformations and compute their p-variation indices. Exponential stock models driven by tempered stable processes ar...
متن کاملApproximating Multivariate Tempered Stable Processes
Abstract. We give a simple method to approximate multidimensional exponentially tempered stable processes and show that the approximating process converges in the Skorokhod topology to the tempered process. The approximation is based on the generation of a random angle and a random variable with a lower dimensional Lévy measure. We then show that if an arbitrarily small normal random variable i...
متن کاملGeneralized Tempered Stable Processes
This work introduces the class of generalized tempered stable processes which encompass variations on tempered stable processes that have been introduced in the field, including “modified tempered stable processes [8],” “layered stable processes [6],” and “Lamperti stable processes [3].” Short and long time behavior of GTS Lévy processes is characterized and the absolute continuity of GTS proce...
متن کاملTempered fractional calculus
Fractional derivatives and integrals are convolutions with a power law. Multiplying by an exponential factor leads to tempered fractional derivatives and integrals. Tempered fractional diffusion equations, where the usual second derivative in space is replaced by a tempered fractional derivative, govern the limits of random walk models with an exponentially tempered power law jump distribution....
متن کاملParameter estimation for tempered power law distributions ∗
Tail estimates are developed for power law probability distributions with exponential tempering using a conditional maximum likelihood approach based on the upper order statistics. The method is demonstrated on simulated data from a tempered stable distribution, and for several data sets from geophysics and finance that show a power law probability tail with some tempering.
متن کامل