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CORR
2012
Springer
210views Education» more  CORR 2012»
12 years 16 days ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
PE
2002
Springer
124views Optimization» more  PE 2002»
13 years 4 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
ICML
2010
IEEE
13 years 5 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
FAC
2007
122views more  FAC 2007»
13 years 4 months ago
Formal techniques for performance analysis: blending SAN and PEPA
Abstract. In this paper we consider two performance modelling techniques from the perspectives of model construction, generation of an underlying continuous time Markov process, an...
Jane Hillston, Leïla Kloul
FORTE
2004
13 years 6 months ago
Symbolic Performance and Dependability Evaluation with the Tool CASPA
This paper describes the tool CASPA, a new performance evaluation tool which is based on a Markovian stochastic process algebra. CASPA uses multi-terminal binary decision diagrams ...
Matthias Kuntz, Markus Siegle, Edith Werner