IEE 475: Simulating Stochastic Systems
Theodore P. PavlicArchived lectures from undergraduate course on stochastic simulation given at Arizona State University by Ted Pavlic
| Publishes | Twice weekly | Episodes | 36 | Founded | 6 years ago |
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| Number of Listeners | Categories | CoursesEducation | |||
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In this lecture, we continue discussing the choice of input models in stochastic simulation. Here, we pivot from talking about data collection to selection of the broad family of probabilistic distributions that may be a good fit for data. We start w... more
In this lecture, we introduce the detailed process of input modeling. Input models are probabilistic models that introduce variation in simulation models of systems. Those input models must be chosen to match statistical distributions in data. Over t... more
During this lecture, we review the topics covered up to this point in the course as preparation for the upcoming midterm exam. Students are encouraged to bring their own questions to class so that we can focus on the topics that students feel like th... more
In this lecture, we review pseudo-random number generation and then introduce random-variate generation by way of inverse-transform sampling. In particular, we start with a review of the two most important properties of a pseudo-random number generat... more
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