Loss networks and Markov random fields

Stan Zachary, Ilze Ziedins
1999 Journal of Applied Probability  
This paper examines the connection between loss networks without controls and Markov random field theory. The approach taken yields insight into the structure and computation of network equilibrium distributions, and into the nature of spatial dependence in networks. In addition, it provides further insight into some commonly used approximations, enables the development of more refined approximations, and permits the derivation of some asymptotically exact results.
doi:10.1239/jap/1029349819 fatcat:huxms5nfrjbzvehll24la6htna