We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Abstract. We propose a new statistical approach to analyzing stochastic systems against specifications given in a sublogic of continuous stochastic logic (CSL). Unlike past numeri...
We present a novel hybrid approach for performance analysis of a system design. Unlike other approaches in this area, in this paper we do not focus on the determination of pessimi...
Alexander Viehl, Markus Schwarz, Oliver Bringmann,...
Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...