Scalable Functions Used for Empirical Forecasting
Journal of Advances in Mathematics and Computer Science · pp. 1–6 · Published 9 Aug 2016
10.9734/BJMCS/2016/28107Abstract
Empirical forecasting is the science of using past data to predict the future, without physical modeling. For these, probability functions are used, normally bell-shaped Gaussian or Gaussian- like. Taleb in his book the Black Swan introduces for this purpose the concept of scalable functions. Here it is shown that the only scalable functions are power-law functions and they can be treated as one and the same. Moreover, the analytical problems of these functions are discussed. Scalable functions are inadequate for empirical forecasting.
Cited by 2
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