Seasonality Prior Scale

Seasonality prior scale is a Bayesian modeling parameter that defines the impact of seasonal trends in data analysis. It helps in adjusting how much emphasis the model places on seasonal factors and influences its sensitivity to seasonal fluctuations.

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