Stochastic Model Explained || Best Explanation From the Professional
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"Stochastic" means being or having a random variable. A stochastic model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time. The random variation is usually based on fluctuations observed in historical data for a selected period using standard time-series techniques. Distributions of potential outcomes are derived from a large number of simulations (stochastic projections) which reflect the random variation in the input(s).
** Topics **
Introduction to #stochastic model (0:00)
Stochastic #matrix #model (18:10)
** Credit **
Creator: Bio220_EssentialMathforResearch
License: Creative Commons Attribution license (reuse allowed)