1. A computer-implemented method for statistical data learning under privacy constraints, the method comprising: receiving, by a processor, a plurality of pieces of statistical information relating to a statistical object, wherein each piece of statistical information includes an uncertainty variable, the uncertainty variable being a value determined from a function having a predetermined mean; and aggregating, by the processor, the plurality of pieces of statistical information so as to provide an estimation of the statistical object, wherein the number of pieces of statistical information aggregated is proportional to the reliability of the estimation of the statistical object.