Inverse problems appear in many different fields (astronomy, medical image processing, econometrics, finance...). The common point is that we deal with indirect noisy observations. Consider an inverse problem with random noise where we want to estimate a function $f$. Moreover, suppose that the operator $A$ that we need to invert is not completely known : we know its eigenfunctions, and observe...