Demantra Bayesian Blending Module logic
I ran into this query, when trying to better appreciate the logic behind the Bayesian Model of Demantra.
How is the Bayesian Blending module of Demantra different from the SAP's Composite Forecasting Method.
SAP Composite forecasting allows users to provide weightage (Automatic & Manual, and varying across time) to individual forecast models based on the chosen error measure.
Does not Bayesian Blending module in Demantra do the same?
Any insights ?
regards,
Karthi