Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems. Such problems, and also some related distributional problems, are addressed in detail in these notes that reflect the content of the course given by R. Doney in St. Flour in 2005
Abstract. The main theme of Urbanik's work was infinite divisi-bility and its r d c a t i o n s...
For about half a century, two classes of stochastic processes-Gaussian processes and processes with ...
We extend the construction principle of phase-type (PH) distributions to allow for inhomogeneous tra...
Lévy processes, i.e. processes in continuous time with stationary and independent increments, are na...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book deals with topics in the area of Lévy processes and infinitely divisible distributions suc...
Let X fX ðtÞ; t 2 Rþg be a Lévy process in Rd; that is, X has stationary and independent increment...
We give a link between stochastic processes which are infinitely divisible with respect to time (IDT...
A class of infinitely divisible processes includes not only well-known L´ vy processes, e but also a...
This chapter provides a brief survey of some of the most salient features of the theory. It presents...
Infinitely divisible distributions and processes have been the object of extensive research not only...
This thesis discusses Lévy processes and Lévy copulas. In connection with Lévy processes we treat so...
30 pagesInternational audienceWe present a satisfactory definition of the important class of Lévy pr...
30 pagesInternational audienceWe present a satisfactory definition of the important class of Lévy pr...
In this paper we propose a class of infinite--dimensional phase--type distributions with finit...
Abstract. The main theme of Urbanik's work was infinite divisi-bility and its r d c a t i o n s...
For about half a century, two classes of stochastic processes-Gaussian processes and processes with ...
We extend the construction principle of phase-type (PH) distributions to allow for inhomogeneous tra...
Lévy processes, i.e. processes in continuous time with stationary and independent increments, are na...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book deals with topics in the area of Lévy processes and infinitely divisible distributions suc...
Let X fX ðtÞ; t 2 Rþg be a Lévy process in Rd; that is, X has stationary and independent increment...
We give a link between stochastic processes which are infinitely divisible with respect to time (IDT...
A class of infinitely divisible processes includes not only well-known L´ vy processes, e but also a...
This chapter provides a brief survey of some of the most salient features of the theory. It presents...
Infinitely divisible distributions and processes have been the object of extensive research not only...
This thesis discusses Lévy processes and Lévy copulas. In connection with Lévy processes we treat so...
30 pagesInternational audienceWe present a satisfactory definition of the important class of Lévy pr...
30 pagesInternational audienceWe present a satisfactory definition of the important class of Lévy pr...
In this paper we propose a class of infinite--dimensional phase--type distributions with finit...
Abstract. The main theme of Urbanik's work was infinite divisi-bility and its r d c a t i o n s...
For about half a century, two classes of stochastic processes-Gaussian processes and processes with ...
We extend the construction principle of phase-type (PH) distributions to allow for inhomogeneous tra...