Before revision:  We show how our algorithm performs in that example and how it is able to compute marginal posterior probability functions even in the presence of strong noise. We discuss why this problem can not be approached by using the Generalized Cross Validation method or the discrepancy principle .
After revision:  We show how our results compare favorably to those obtained from the Maximum Likelihood (ML), the Generalized Cross Validation method or the discrepancy principle .