Probabilistic and Statistical Analysis of Complex Stochastic Networks (Research Topic Area: Probability and Statistics)
Abstract
The research objective of this proposal is on analyzing long time asymptotics, control and statistical inference problems for wide family of stochastic network systems to address fundamental issues arising from data-intensive network applications. Our methodology is based on weak convergence approximations for the network systems critical loading, stochastic simulations, applying statistical inference methods stochastic differential equations to the limit approximating models. The focus of the research will be on a class of stochastic networks that exhibit the non-Markovian characteristics of data traffic from, e.g., long range dependence, self similarity and/or heavy tail phenomena. Furthermore, in order to broaden the applicability of the problems considered past, we intend to study more general state-dependent network models.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 19, 2023
- Source ID
- W911NF1410216
Entities
People
- Chihoon Lee
Organizations
- Army Contracting Command
- Colorado State University
- United States Army