Le;vy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic calculus is the mathematics of systems interacting with random noise. For the first time in a book, Applebaum ties the two subjects together. He begins with an introduction to the general theory of Le;vy processes. The second part develops the stochastic calculus for Le;vy processes in a direct and accessible way. En route, the reader is introduced to important concepts in modern probability theory, such as martingales, semimartingales, Markov and Feller processes, semigroups and generators, and the theory of Dirichlet forms. There is a careful development of stochastic integrals and stochastic differential eq...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
"This comprehensive guide to stochastic processes gives a complete overview of the theory and addres...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
"Stochastic calculus provides a powerful description of a specific class of stochastic processes in ...
This textbook, now in its third edition, offers a rigorous and self-contained introduction to the th...
Stochastic processes are families of random variables; Lévy processes are families indexed by the po...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
Stochastic integration \textit{wrt} Gaussian processes has raised strong interest in recent years, m...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book introduces the theory of stochastic processes with applications taken from physics and fin...
Stochastic integration with respect to Gaussian processes, such as fractional Brownian motion (fBm) ...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
"This comprehensive guide to stochastic processes gives a complete overview of the theory and addres...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
"Stochastic calculus provides a powerful description of a specific class of stochastic processes in ...
This textbook, now in its third edition, offers a rigorous and self-contained introduction to the th...
Stochastic processes are families of random variables; Lévy processes are families indexed by the po...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
Stochastic integration \textit{wrt} Gaussian processes has raised strong interest in recent years, m...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
This book introduces the theory of stochastic processes with applications taken from physics and fin...
Stochastic integration with respect to Gaussian processes, such as fractional Brownian motion (fBm) ...
In this Chapter, the basic concepts of stochastic integration are explained in a way that is readily...
International audienceUnlike traditional books presenting stochastic processes in an academic way, t...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...