Advances in superprocesses and nonlinear PDEs
Sergei Kuznetsov is one of the top experts on measure valued branching processes (also known as superprocesses ) and their connection to nonlinear partial di erential operators. His research interests range from stochastic processes and partial di erential equations to mathematical statistics, time...
Enregistré dans:
| Auteur principal: | |
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| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Springer Proceedings in Mathematics & Statistics
38 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in superprocesses and Nonlinear PDEs, [edited by] Janos Englander, Brian Rider, [S.l], Springer Verlag, 2013, 1 vol. (vii-124 p.), Springer Proceedings in Mathematics & Statistics, 978-1-4614-6239-2 • Advances in Superprocesses and Nonlinear PDEs, Texte imprimé, 9781461462415 • Advances in Superprocesses and Nonlinear PDEs, Texte imprimé, 9781489973337 • Advances in superprocesses and Nonlinear PDEs, [edited by] Janos Englander, Brian Rider, [S.l], Springer Verlag, 2013, 1 vol. (vii-124 p.), Springer Proceedings in Mathematics & Statistics, 978-1-4614-6239-2 |
Table des matières:
- Markov processes and their applications to partial differential equations Kuznetsov's contributions Stochastic equations on projective systems of groups Modeling competition between two influenza strains Asymptotic Results for Near Critical Bienaym\'e-Galton-Watson and Catalyst-Reactant Branching Processes Some path large deviation results for a branching diffusion Longtime Behavior for Mutually Catalytic Branching Super-Brownian motion: Lp-convergence of martingales through the pathwise spine decomposition