M. Di Marzio

Regularized-Likelihood Deconvolution with Posterior-Density Reconstruction

This work derives explicit rates under Gaussian error and recover the classical ordinary-smooth exponent, up to logarithmic factors, with a constructive verification for Laplace error and Simulations and a Framingham blood-pressure application provide empirical performance evidences.