The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes using methods of stochastic calculus. Departing from the classical approaches, a unified investigation of regular as well as arbitrary non-regular diffusions is provided. A general construction method for such processes, based on a generalization of the concept of a perfect additive functional, is developed. The intrinsic decomposition of a continuous strong Markov semimartingale is discovered. The book also investigates relations to stochastic differential equations and fundamental examples of irregular diffusions
We introduce a domain-theoretic framework for continuous-time, continuous-state stochastic processes...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
This title considers the special of random processes known as semi-Markov processes. These possess t...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
This thesis introduces a new method of constructing analytically tractable (solvable) one-dimensiona...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This is a rigorous course on finite dimensional continuous Markov processes. Most top-ics covered wi...
Dedicated to the memory of Lynda Singshinsuk. Abstract. The construction presented in this paper can...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
Abstract. The construction presented in this paper can be briefly described as follows: starting fro...
International audienceWe introduce an elementary method for proving the absolute continuity of the t...
Abstract. We study continuous additive functionals of zero quadratic variation of strong Markov cont...
Stochastic processes in infinite dimensional state spaces provide a mathematical description of vari...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
We introduce a domain-theoretic framework for continuous-time, continuous-state stochastic processes...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
This title considers the special of random processes known as semi-Markov processes. These possess t...
Focusing on one of the major branches of probability theory, this book treats the large class of pro...
This thesis introduces a new method of constructing analytically tractable (solvable) one-dimensiona...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
This is a rigorous course on finite dimensional continuous Markov processes. Most top-ics covered wi...
Dedicated to the memory of Lynda Singshinsuk. Abstract. The construction presented in this paper can...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
Abstract. The construction presented in this paper can be briefly described as follows: starting fro...
International audienceWe introduce an elementary method for proving the absolute continuity of the t...
Abstract. We study continuous additive functionals of zero quadratic variation of strong Markov cont...
Stochastic processes in infinite dimensional state spaces provide a mathematical description of vari...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
We introduce a domain-theoretic framework for continuous-time, continuous-state stochastic processes...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...
This paper develops a new technique for the path approximation of one-dimensional stochastic process...