Some considerations concerning regularization and parameter choice algorithms

Using a Bayesian-type approach to inverse problems many phenomena occurring in practice can be explained in a consistent way. In particular we can prove a discrete version of the quasi-optimality criterion for choosing the regularization parameter by simply imposing minor additional a priori assumptions about the solution and the measurement noise.