This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong M
Continuous semi-Markov processes
β Scribed by Boris Harlamov
- Publisher
- Wiley
- Year
- 2008
- Tongue
- English
- Leaves
- 377
- Series
- Applied Stochastic Methods
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong Markov processes, LΠΒ©vy and Smith stepped semi-Markov processes, and some other subclasses. Extensive coverage is devoted to non-Markovian semi-Markov processes with continuous trajectories and, in particular, to semi-Markov diffusion processes. Readers looking to enrich their knowledge on Markov processes will find this book a valuable resource.
π SIMILAR VOLUMES
<P>Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.</P> <P>The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.</P> <P>Presents homogeneous an
<p><P><STRONG>Applied Semi-Markov Processes </STRONG>aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov
<p>At first there was the Markov property. The theory of stochastic processes, which can be considered as an extenΒ sion of probability theory, allows the modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathematΒ ics, separated from the body of ex
<p><p>The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of