Monte Carlo Methods for Process Algebra
โ Scribed by Radu Grosu; Scott A. Smolka
- Book ID
- 108126693
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 193 KB
- Volume
- 162
- Category
- Article
- ISSN
- 1571-0661
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract Many quantitative problems in science, engineering, and economics are nowadays solved via statistical sampling on a computer. Such __Monte Carlo methods__ can be used in three different ways: (1) to generate random objects and processes in order to observe their behavior, (2) to estimat
In the context of Bayesian non-parametric statistics, the distribution of a stochastic process serves as a prior over the class of functions indexed by its sample paths. Dykstra and Laud (1981) defined a stochastic process whose sample paths can be used to index monotone hazard rates. Although they