This work defines two classes of processes, that we term tempered fractional multistable motion and tempered multifractional stable motion. They are extensions of fractional multistable motion and multifractional stable motion, respectively, obtained by adding an exponential tempering to the integrands. We investigate certain basic features of these processes, including scaling property, tail probabilities, absolute moment, sample path properties, pointwise Hölder exponent, Hölder continuity of quasi norm, (strong) localisability and semi-long-range dependence structure. These processes may provide useful models for data that exhibit both dependence and varying local regularity/intensity of jumps
Fractional derivatives and integrals are convolutions with a power law. Including an exponential ter...
36 pagesInternational audienceMultifractional Brownian motion is an extension of the well-known frac...
This PhD thesis deals with some probabilistic, pathwise and statistical properties of multistable st...
This work defines two classes of processes, that we term tempered fractional multistable motion and ...
Abstract Tempered fractional stable motion adds an exponential tempering to the power-law kernel in ...
AbstractFractional tempered stable motion (fTSm) is defined and studied. FTSm has the same covarianc...
International audienceIn this work, we investigate the fine regularity of Lévy processes using the 2...
Multistable processes, that is, processes which are, at each “time”, tangent to a stable p...
AbstractA tempered stable Lévy process combines both the α-stable and Gaussian trends. In a short ti...
International audienceMultistable processes, that is, processes which are, at each ''time'', tangent...
International audienceThe study of non-stationary processes whose local form has controlled properti...
The study of non-stationary processes whose local form has controlled properties is a fruit-ful and ...
International audienceMultifractional Brownian motion is an extension of the well-known fractional B...
Fractional Calculus has a close relation with Probability. Random walks with heavy tails converge to...
Fractional Brownian motion, introduced by Benoit Mandelbrot and John Van Ness in 1968, has had a maj...
Fractional derivatives and integrals are convolutions with a power law. Including an exponential ter...
36 pagesInternational audienceMultifractional Brownian motion is an extension of the well-known frac...
This PhD thesis deals with some probabilistic, pathwise and statistical properties of multistable st...
This work defines two classes of processes, that we term tempered fractional multistable motion and ...
Abstract Tempered fractional stable motion adds an exponential tempering to the power-law kernel in ...
AbstractFractional tempered stable motion (fTSm) is defined and studied. FTSm has the same covarianc...
International audienceIn this work, we investigate the fine regularity of Lévy processes using the 2...
Multistable processes, that is, processes which are, at each “time”, tangent to a stable p...
AbstractA tempered stable Lévy process combines both the α-stable and Gaussian trends. In a short ti...
International audienceMultistable processes, that is, processes which are, at each ''time'', tangent...
International audienceThe study of non-stationary processes whose local form has controlled properti...
The study of non-stationary processes whose local form has controlled properties is a fruit-ful and ...
International audienceMultifractional Brownian motion is an extension of the well-known fractional B...
Fractional Calculus has a close relation with Probability. Random walks with heavy tails converge to...
Fractional Brownian motion, introduced by Benoit Mandelbrot and John Van Ness in 1968, has had a maj...
Fractional derivatives and integrals are convolutions with a power law. Including an exponential ter...
36 pagesInternational audienceMultifractional Brownian motion is an extension of the well-known frac...
This PhD thesis deals with some probabilistic, pathwise and statistical properties of multistable st...