Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

To determine maximum aggregate component materiality levels, we first use the cumulative binomial distribution to derive the maximum number of components that can be allowed to simultaneously contain ...

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