A SURE-FIRED WAY TO CHOOSE SMOOTHING PARAMETERS IN ILL-CONDITIONED INVERSE PROBLEMS
smoothing parameter, ill-condition, inverse problem
We describe a general procedure for estimation of auxiliary
finite dimensional parameters in ill-conditioned inverse problems. The method is applicable to nonlinear problems, involves no approximations but offers computational advantages over cross validation and maximum likelihood.