RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PERSONAL OFFICE
Forthcoming seminars
Seminar calendar
List of seminars
Archive by years
Register a seminar

Search
RSS
Forthcoming seminars





You may need the following programs to see the files








Steklov Mathematical Institute Seminar
April 25, 2013 16:00, Moscow, Steklov Mathematical Institute of RAS, Conference Hall (8 Gubkina)
 


Functional limit theorems for branching processes in random environment

V. I. Afanasyev
Video records:
Flash Video 2,312.1 Mb
Flash Video 385.9 Mb
MP4 385.9 Mb

Number of views:
This page:586
Video files:188
Youtube Video:

V. I. Afanasyev
Photo Gallery


Видео не загружается в Ваш браузер:
  1. Установите Adobe Flash Player    

  2. Проверьте с Вашим администратором, что из Вашей сети разрешены исходящие соединения на порт 8080
  3. Сообщите администратору портала о данной ошибке



Abstract: The theory of branching processes in random environment is an important and rapidly developing part of probability theory. Our talk is mainly devoted to the functional limit theorems for stochastic processes describing various characteristics of the development of populations. Along with traditional conditional limit theorems (with the condition of non-extinction or the condition of attaining a high level) we deal with unconditional limit theorems for branching processes in random environment allowing immigration. An interesting and important feature of the conditional theorems is that the stochastic processes appearing in the limit belong to the class of the so-called conditional Brownian motions (Brownian meander, Brownian excursion, Brownian high jump and so on). These random processes are constructed on the base of Brownian motion and their properties allow to describe many important phenomena of the prelimiting branching processes in random environment.

SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru
 
Contact us:
 Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2017