Remi Mollicone is the Chairman of CFAR-m. CFAR-m is an original method of aggregation based on neural networks which can summarize with objectivity, the information contained in a large number of complex variables. CFAR-m solves the major problem of fixing the subjective importance of each variable in the aggregation (It avoids the adoption of an equal weighting or a weighting based on exogenous criteria).

See all of Remi Mollicone’s posts here.

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