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arXiv · 2103.16105

Expected-Cost Analysis for Probabilistic Programs and Semantics-Level Adaption of Optional Stopping Theorems

Di Wang·Jan Hoffmann·Thomas Reps
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Abstract

In this article, we present a semantics-level adaption of the Optional Stopping Theorem, sketch an expected-cost analysis as its application, and survey different variants of the Optional Stopping Theorem that have been used in static analysis of probabilistic programs.

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Di Wang, Jan Hoffmann, Thomas Reps. 2021-03-30. Expected-Cost Analysis for Probabilistic Programs and Semantics-Level Adaption of Optional Stopping Theorems. https://arxiv.org/abs/2103.16105

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