Intensity estimation from shot-noise data

The estimation of the intensity function of a Poisson-driven shot- noise process is addressed using a regularization technique, where the data is modeled as a signal term plus a signal-dependent noise term. The approach used requires that the estimates belong to some finite- dimensional subspace. This paper investigates the effect of the choice of subspace on the estimates produced.