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Titlebook: Principles of Verification: Cycling the Probabilistic Landscape; Essays Dedicated to Nils Jansen,Sebastian Junges,Matthias Volk Book 2025

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Asymptotic Analysis of Probabilistic Programs: When Expectations Do Not Meet Our Expectationse runs of .. However, in some cases, this approach may lead to misleading conclusions about the actual runtime behavior of the program. Furthermore, the analysis of expected values is not compositional in general. In this paper, we propose alternative complexity measures for probabilistic programs t
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Static Slicing for Probabilistic Programs: An Overviewgram understanding, debugging, and software maintenance. This paper provides an overview of slicing techniques for probabilistic programs, which blend traditional programming constructs with random sampling and conditioning. These programs have experienced a notable resurgence in recent years due to
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Polar: An Algebraic Analyzer for (Probabilistic) Loopsmes with handling algebraic recurrences that precisely capture the loop semantics. To this end, our work implements a variety of techniques to compute exact closed-forms of recurrences over higher-order moments of variables, infer invariants, and derive loop sensitivities with respect to unknown par
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