ABSTRACT
In this chapter, we give an overview of two nonparametric estimation problems that are of interest in their own right and also arise as secondary problems in regression calibration and hypothesis testing. The first problem is the estimation of the density of a random variable X, while the second is the nonparametric estimation of a regression, both when X is measured with error.
