C 12 по 16 октября профессор Филипп Робер (INRIA, Франция) прочтёт пять лекций в рамках семестрового курса "Современные направления теории вероятностей, часть 1" для магистрантов направления "Probability & Statistics" англоязычной магистратуры ММФ НГУ.
Расписание лекций:
Краткая программа:
I) Introduction
A) Poisson Processes.
Martingales and Stochastic Calculus Associated with Markov Processes.
Examples fr om Queueing Theory:
M/M/1, M/M/infty.
Loss Networks.
Jackson Networks.
B) Convergence of sequences of Stochastic Processes
Definitions.
Criterion for Tightness.
Convergence to Brownian Motion.
II) Fluid Limits for Stochastic Networks
Functional Law of Large Numbers for Poisson Processes
Classical Stability Results for Markov Chains
Fluid Limits: Definitions and Examples.
A Stability Criterion.
Skorokhod Problems and Fluid Limits.
Examples of Jackson Networks.
III) Heavy Traffic Lim it for Loss Networks
The example of the M/M/N/N queue.
Asymptotic Behavior with Large N.
An Introduction to Stochastic Averaging Principles.
The case of General Loss Networks. Various examples.