“…The manuscript "Robust-Bregman Divergence (BD) Estimation and Inference for General Partially Linear Models", by C. Zhang and Z. Zhang [27], proposes a class of "robust-Bregman divergence (BD)" estimators of both the parametric and nonparametric components in the general partially linear model (GPLM), which allows the distribution of the response variable to be partially specified, without being fully known. Using the local-polynomial function estimation method, they proposed a computationally-efficient procedure for obtaining "robust-BD" estimators and established the consistency and asymptotic normality of the "robust-BD" estimator of the parametric component β 0 .…”