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Hybrid statistical estimation of mutual information and its application to information flow
2018
Formal Aspects of Computing
Analysis of a probabilistic system often requires to learn the joint probability distribution of its random variables. The computation of the exact distribution is usually an exhaustive precise analysis on all executions of the system. To avoid the high computational cost of such an exhaustive search, statistical analysis has been studied to efficiently obtain approximate estimates by analyzing only a small but representative subset of the system's behavior. In this paper we propose a hybrid
doi:10.1007/s00165-018-0469-z
fatcat:m6d4f2hwr5cc3didmqh5qihspa