Sums and Gaussian Vectors
Surveys the methods currently applied to study sums of infinite-dimensional independent random vectors in situations where their distributions resemble Gaussian laws. Covers probabilities of large deviations, Chebyshev-type inequalities for seminorms of sums, a method of constructing Edgeworth-type...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in mathematics
1617 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Sums and Gaussian vectors, Vadim Yurinsky, 1995, Berlin, Springer, 1 volume (XI-305 pages), Lecture notes in mathematics, 3-540-60311-5 • Sums and Gaussian Vectors, Texte imprimé, 9783662204665 |
Tabl Cynhwysion:
- Gaussian measures in euclidean space
- Seminorms of Gaussian vectors in infinite dimensions
- Inequalities for seminorms: Sums of independent random vectors
- Rough asymptotics of large deviations
- Gaussian and related approximations for distributions of sums
- Fine asymptotics of moderate deviations.