Solution of linear ill-posed problems by model selection and aggregation

Felix Abramovich, Daniela De Canditiis, Marianna Pensky

We consider a general statistical linear inverse problem, where the solution is represented via a known (possibly overcomplete) dictionary that allows its sparse representation. We…