This is the accompanying material for the draft with same title and authors of this repository. The pdf is the submitted draft, while the archive contains information on how to replicate the experiments presented in the draft and all the used models
Construction of stochastic models that describe the effective dynamics of observables of interest is...
CSO2009, Hainan, IEEE Computer Society Proceedings, (2009) 551-555.We study the problem of construct...
This paper, based on the content of the axioms for the randomized algorithm, considers the collectio...
Draft conditionally accepted at IEEE Transactions on Automatic Control, and accompanying material fo...
This is the accompanying material for the draft with same title and authors of this repository. The...
The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is u...
Abstract. Continuous time Markov Chains (CTMCs) are a convenient mathematical model for a broad rang...
Continuous time Markov Chains (CTMCs) are a convenient mathematical model for a broad range of natur...
Abstract. Computing the solution to a stochastic optimal con-trol problem is difficult. A method of ...
A continuous-time Markov process (CTMP) is a collection of variables indexed by a continuous quantit...
A continuous-time Markov process (CTMP) is a collection of variables indexed by a continuous quantit...
International audienceModel checking real time properties on probabilistic systems requires computin...
This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatt...
1.1 Discrete-time Markov chains........................... 4 1.2 Continuous-time Markov chains.........
Sensitivity analysis plays an important role in performance optimization of stochastic systems. It p...
Construction of stochastic models that describe the effective dynamics of observables of interest is...
CSO2009, Hainan, IEEE Computer Society Proceedings, (2009) 551-555.We study the problem of construct...
This paper, based on the content of the axioms for the randomized algorithm, considers the collectio...
Draft conditionally accepted at IEEE Transactions on Automatic Control, and accompanying material fo...
This is the accompanying material for the draft with same title and authors of this repository. The...
The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is u...
Abstract. Continuous time Markov Chains (CTMCs) are a convenient mathematical model for a broad rang...
Continuous time Markov Chains (CTMCs) are a convenient mathematical model for a broad range of natur...
Abstract. Computing the solution to a stochastic optimal con-trol problem is difficult. A method of ...
A continuous-time Markov process (CTMP) is a collection of variables indexed by a continuous quantit...
A continuous-time Markov process (CTMP) is a collection of variables indexed by a continuous quantit...
International audienceModel checking real time properties on probabilistic systems requires computin...
This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatt...
1.1 Discrete-time Markov chains........................... 4 1.2 Continuous-time Markov chains.........
Sensitivity analysis plays an important role in performance optimization of stochastic systems. It p...
Construction of stochastic models that describe the effective dynamics of observables of interest is...
CSO2009, Hainan, IEEE Computer Society Proceedings, (2009) 551-555.We study the problem of construct...
This paper, based on the content of the axioms for the randomized algorithm, considers the collectio...
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