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Semiparametric regression in Stata [PDF]

, 2013
The boxplot is probably the most commonly used tool to represent the distribution of the data and identify atypical observations in a univariate dataset. The problem with the standard boxplot is that as soon as asymmetry or tail heaviness appears, the percentage of values identified as atypical becomes excessive.
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asymptotic properties of nonparametric inference

Robust Semiparametric Regression Estimates

2014
The paper deals with the new semiparametric regression estimates for the different level of a priori data. The estimates are based on the weighted maximum likelihood method. The investigations show the estimates are effective for symmetrical and asymmetrical outliers and adaptive to outliers and distribution type.
Valery Simakhin, Oleg Cherepanov
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Semiparametric Regression

Journal of the American Statistical Association, 2006
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Analysis of semiparametric regression models for repeated outcomes in the presence of missing data

, 1995
J. Robins, A. Rotnitzky, L. Zhao
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Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data

, 2019
M. Arashi, M. Roozbeh
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The asymptotic properties of the estimators in a semiparametric regression model