Dynamic Bayesian networks for formal verification of structured stochastic processes
DOI10.1007/S00236-016-0287-9zbMath1364.68262arXiv1507.00509OpenAlexW2558765880WikidataQ59529482 ScholiaQ59529482MaRDI QIDQ523135
Sadegh Esmaeil Zadeh Soudjani, Rupak Majumdar, Alessandro Abate
Publication date: 20 April 2017
Published in: Acta Informatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1507.00509
Discrete-time Markov processes on general state spaces (60J05) Specification and verification (program logics, model checking, etc.) (68Q60) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)
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- Approximate model checking of stochastic hybrid systems
- Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems
- Distributed control schemes for large-scale interconnected discrete-time linear systems
- Adaptive and Sequential Gridding Procedures for the Abstraction and Verification of Stochastic Processes
- Probabilistic Reach-Avoid Computation for Partially Degenerate Stochastic Processes
- On the connections between PCTL and dynamic programming
- Quantitative automata model checking of autonomous stochastic hybrid systems
- Formula-free finite abstractions for linear temporal verification of stochastic hybrid systems
- Quantitative Approximation of the Probability Distribution of a Markov Process by Formal Abstractions
- Convergence of discretization procedures in dynamic programming
- Factor graphs and the sum-product algorithm
- Dynamic Bayesian Networks: A Factored Model of Probabilistic Dynamics
- Higher-Order Approximations for Verification of Stochastic Hybrid Systems
- Piecewise affine approximations of fluxes and enzyme kinetics from in vivo13C labeling experiments
- Dynamic Response of Linear Mechanical Systems
- Dynamic Bayesian Networks as Formal Abstractions of Structured Stochastic Processes
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