This is the R code for the simulation-based results related to the paper "Bounds for the normal approximation of the maximum likelihood estimator" by Andreas Anastasiou and Gesine Reinert, with explan
In this paper, we generalize the notion of measurement error on deterministic sample datasets to accommodate sample data that are random-variable-valued. This leads to the formulation of two distinct
We study a class of general M-estimators in the semi-supervised setting, wherein the data are typically a combination of a relatively small labeled dataset and large amounts of unlabeled data. A new e