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ICALP
2000
Springer
13 years 11 months ago
A Matrix-based Method for Analysing Stochastic Process Algebras
This paper demonstrates how three stochastic process algebras can be mapped on to a generally-distributed stochastic transition system. We demonstrate an aggregation technique on ...
Jeremy T. Bradley, N. J. Davies
IOR
2008
91views more  IOR 2008»
13 years 7 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 7 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman
CDC
2008
IEEE
184views Control Systems» more  CDC 2008»
14 years 1 months ago
Almost sure convergence to consensus in Markovian random graphs
— In this paper we discuss the consensus problem for a network of dynamic agents with undirected information flow and random switching topologies. The switching is determined by...
Ion Matei, Nuno C. Martins, John S. Baras
ICALP
2000
Springer
13 years 11 months ago
Amalgamation of Transition Sequences in the PEPA Formalism
This report presents a formal approach to reducing sequences in PEPA components. Performing the described amalgamation procedure we may remove, from the underlying Markov chain, t...
Jane Hillston, J. Tomasik