Markov processes for stochastic modeling
Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier
c2013.
London : 2013. |
| Edición: | 2nd ed |
| Colección: | Elsevier insights.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628309806719 |
| Sumario: | Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of |
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| Notas: | Previous edition: Amsterdam; London: Academic, 2009. |
| Descripción Física: | 1 online resource (xviii, 494 pages) : illustrations |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9780124078390 |
