MCMC based modelling of queuing systems from empirical data
Markov chain Monte Carlo (MCMC) modelling technique requires one to be able to construct a proposal density. There is no universal way to achieve this. This paper considers the universal proposal selection technique based on the kernel density estimate. Two channel queuing system with a priority was...
Main Authors: | Mantas Landauskas, Eimutis Valakevičius |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2011-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/15426 |
Similar Items
-
MCMC approach to modelling queuing systems
by: Mantas Landauskas, et al.
Published: (2010-12-01) -
The Application of Phase Type Distributions for Modelling Queuing Systems
by: EIMUTIS VALAKEVICIUS
Published: (2007-12-01) -
Modelling of non‐Markovian queuing systems
by: Giedrius Mickevičius, et al.
Published: (2006-12-01) -
Application of mixture of exponentials distributions for modeling queuing systems
by: Mindaugas Šnipas, et al.
Published: (2008-12-01) -
Fast Compression of MCMC Output
by: Nicolas Chopin, et al.
Published: (2021-08-01)