Retail Predictive Application Server (MOSC)

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Bayesian forecast sensitivity

edited Apr 28, 2016 5:34AM in Retail Predictive Application Server (MOSC) 1 commentAnswered ✓

Hi,

In RDF, for the Bayesian Forecast method, we input the parameter α to tweak the sensitivity of the forecast method.

As α increases, the forecast will tend to stay closer to the original plan and for small values of α , the forecast will move rapidly towards the scaled plan as historical sales data becomes available.

As per the 14.1 config guide, multiple values of α is not permitted for the forecast method. Is it allowed to use small value of α for say initial x number of days and after that use another value of α, by using rules to populate the values of x, initial and final

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