This volume presents the lecture notes from two courses given by Davar Khoshnevisan and René Schilling, respectively, at the second Barcelona Summer School on Stochastic Analysis. René Schilling’s notes are an expanded version of his course on Lévy and Lévy-type processes, the purpose of which is two-fold: on the one hand, the course presents in detail selected properties of the Lévy processes, mainly as Markov processes, and their different constructions, eventually leading to the celebrated Lévy-Itô decomposition. On the other, it identifies the infinitesimal generator of the Lévy process as a pseudo-differential operator whose symbol is the characteristic exponent of the process, making it possible to study the properties of Feller proce...
A careful and accessible exposition of functional analytic methods in stochastic analysis is provide...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Numerical methods for stochastic differential equations typically estimate moments of the solution f...
Stochastic partial differential equations (SPDEs) of evolution type are usually modelled as ordinary...
These lectures concentrate on (nonlinear) stochastic partial differential equations (SPDE) of evolut...
Stochastic partial differential equations (SPDEs) of evolution type are usually modelled as ordinary...
Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very ac...
Cette thèse est consacrée à l’étude des équations aux dérivées partielles stochastiques de type para...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
Abstract. The main two aims of these lecture notes are: a definition of the space-time white noise a...
Preliminaries Introduction Some Examples Brownian Motions and Martingales Stochastic Integrals Stoch...
In this thesis, we develop a stochastic calculus for the space-time Lévy white noise introduced in [...
We consider stochastic evolution equations (SEEs) of parabolic type in Hilbert space with smooth coe...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
Focussing on the interrelations of the subjects of Markov processes, analytic semigroups and ellipti...
A careful and accessible exposition of functional analytic methods in stochastic analysis is provide...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Numerical methods for stochastic differential equations typically estimate moments of the solution f...
Stochastic partial differential equations (SPDEs) of evolution type are usually modelled as ordinary...
These lectures concentrate on (nonlinear) stochastic partial differential equations (SPDE) of evolut...
Stochastic partial differential equations (SPDEs) of evolution type are usually modelled as ordinary...
Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very ac...
Cette thèse est consacrée à l’étude des équations aux dérivées partielles stochastiques de type para...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
Abstract. The main two aims of these lecture notes are: a definition of the space-time white noise a...
Preliminaries Introduction Some Examples Brownian Motions and Martingales Stochastic Integrals Stoch...
In this thesis, we develop a stochastic calculus for the space-time Lévy white noise introduced in [...
We consider stochastic evolution equations (SEEs) of parabolic type in Hilbert space with smooth coe...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
Focussing on the interrelations of the subjects of Markov processes, analytic semigroups and ellipti...
A careful and accessible exposition of functional analytic methods in stochastic analysis is provide...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Numerical methods for stochastic differential equations typically estimate moments of the solution f...