A.2 Finding the maximum likelihood sample and parameter space: data space corresponds to the measured or observed variables (here: comonomer content in bulk f i and polymer F i ). In order to judge and compare the values obtained by regression of statistical inference, a transfer to parameter space may be helpful. Hereby, the dimensions of parameter space correspond to the estimators or fitting parameters (here: reactivity ratios). By determination of confidence contours in parameter space, models may be compared. Bayes theorem: theory which links conditional probabilities of events. In simple terms, it returns the probability of event A occurring given that event B has already occurred (p(A|B)). This probability is equal to the probability of the switched just described case (B occurs given that A already occurred p(B|A)), scaled by the ratio of probabilities of A and B themselves (equation ( )).