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Stochastic Modeling

[stəˈkæstɪk ˈmɒdəlɪŋ]
Artificial Intelligence
Last updated: December 9, 2024

Definition

A modeling approach that incorporates random variables and probability distributions to account for uncertainty and variability in system behavior.

Detailed Explanation

Stochastic modeling is a mathematical method that involves random probability distributions or patterns that can be analyzed statistically but not predicted precisely. It contrasts with deterministic modeling by explicitly including elements of randomness and uncertainty. The approach uses probability theory to model phenomena with non-deterministic outcomes incorporating random variables stochastic processes and probability distributions to represent system uncertainty and variability over time.

Use Cases

Financial market analysis weather forecasting telecommunications traffic modeling inventory management systems and reliability engineering in complex systems.

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