An Introduction to Markov Processes
To some extent, it would be accurate to summarize the contents of this book as an intolerably protracted description of what happens when either one raises a transition probability matrix P (i. e. , all entries (P) j are n- negative and each row of P sums to 1) to higher and higher powers or one exp...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2005. |
| Series: | Graduate Texts in Mathematics
230 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • An introduction to Markov processes, Daniel W. Stroock, 2005, Berlin, Springer, 1 vol. (XIV-171 p.), Graduate texts in mathematics, 978-3-540-23499-9 • An Introduction to Markov Processes, Texte imprimé, 9783540804635 • An introduction to Markov processes, Daniel W. Stroock, 2005, Berlin, Springer, 1 vol. (XIV-171 p.), Graduate texts in mathematics, 978-3-540-23499-9 • An introduction to Markov processes, Daniel W. Stroock, 2005, Berlin, Springer, 1 vol. (XIV-171 p.), Graduate texts in mathematics, 978-3-540-23499-9 |
Table des matières:
- Random Walks A Good Place to Begin Doeblin's Theory for Markov Chains More about the Ergodic Theory of Markov Chains Markov Processes in Continuous Time Reversible Markov Processes Some Mild Measure Theory