Measure theory and probability theory
This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics. It is intended prima...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2006. |
| Col·lecció: | Springer Texts in Statistics
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 11 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Measure theory and probability theory, Krishna B. Athreya, Soumendra N. Lahiri, New York, Springer, 2006, 1 vol. (XVIII-618 p.), Springer Texts in Statistics, 0-387-32903-X • Measure Theory and Probability Theory, Texte imprimé, 9780387512655 • Measure Theory and Probability Theory, Texte imprimé, 9781441921918 • Measure theory and probability theory, Krishna B. Athreya, Soumendra N. Lahiri, New York, Springer, 2006, 1 vol. (XVIII-618 p.), Springer Texts in Statistics, 0-387-32903-X |
Taula de continguts:
- Measures and Integration: An Informal Introduction Measures Integration Lp-Spaces Differentiation Product Measures, Convolutions, and Transforms Probability Spaces Independence Laws of Large Numbers Convergence in Distribution Characteristic Functions Central Limit Theorems Conditional Expectation and Conditional Probability Discrete Parameter Martingales Markov Chains and MCMC Stochastic Processes Limit Theorems for Dependent Processes The Bootstrap Branching Processes