Traditionally, computer simulation techniques are used to perform probabilistic analysis. However, they provide less accurate results and cannot handle large-scale problems due to their enormous CPU time requirements. Recently, a significant amount of formalization has been done in higher-order logic that allows us to conduct precise probabilistic analysis using theorem proving and thus overcome the limitations of the simulation based probabilistic analysis approach. Some major contributions include the formalization of both discrete and continuous random variables and the verification of...
Traditionally, computer simulation techniques are used to perform probabilistic analysis. However, they provide less accurate results and cannot handl...
Discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. It combines practical application with theoretical discussion.
Discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to th...
