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Lecture G1 (2026-10-15): Input Modeling, Part 1 (Data Collection) episode artwork

Oct 15, 2026

Lecture G1 (2026-10-15): Input Modeling, Part 1 (Data Collection)

from IEE 475: Simulating Stochastic Systems Hosted by Theodore P. Pavlic

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 this unit, we cover collection of data for this process, choice of probabilistic families to fit to these data, and then optimized parameter choice within those families and evaluation of fit with goodness of fit. In this lecture, we discuss issues related to data collection. The Input Analyzer referenced and used in this lecture can be found at: https://tpavlic.github.io/asu-simulating-stochastic-systems/input_modeling/input_analyzer.html

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Lecture G1 (2026-10-15): Input Modeling, Part 1 (Data Collection)

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