Statistical modeling is the process of applying statistical methods to data in order to create a simplified, mathematical representation of a real-world process or phenomenon. It's commonly used for prediction, inference, and understanding the relationships between variables. Common applications include forecasting, risk assessment, A/B testing, and pattern recognition.
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