This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. From the reviews: "A very us
[Frontiers in Mathematics] Invariant Probabilities of Markov-Feller Operators and Their Supports || The Krylov–Bogolioubov–Beboutoff–Yosida (KBBY) Decomposition
✍ Scribed by Zaharopol, Radu
- Book ID
- 120578854
- Publisher
- Birkhäuser Basel
- Year
- 2005
- Tongue
- German
- Weight
- 237 KB
- Edition
- 2005
- Category
- Article
- ISBN
- 376437344X
No coin nor oath required. For personal study only.
✦ Synopsis
This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. From the reviews: "A very useful reference for researchers wishing to enter the area of stationary Markov processes both from a probabilistic and a dynamical point of view." --MONATSHEFTE FÜR MATHEMATIK
📜 SIMILAR VOLUMES
This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. From the reviews: "A very us
This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. From the reviews: "A very us
This book covers invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, and certain time series. From the reviews: "A very us