Estimation and variable selection for semiparametric additive partial linear models

Article Properties
Citations
Title Journal Journal Categories Citations Publication Date
Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers

Mathematics
  • Science: Mathematics
  • Science: Mathematics
2024
Partial replacement imputation estimation for partially linear models with complex missing pattern covariates Statistics and Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
A robust spline approach in partially linear additive models Computational Statistics & Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2023
GMM estimation of partially linear additive spatial autoregressive model Computational Statistics & Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
4 2023
Two-stage Walsh-average-based robust estimation and variable selection for partially linear additive spatial autoregressive models Brazilian Journal of Probability and Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2023
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 73 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Statistical inference on semi-parametric partial linear additive models and was published in 2012. The most recent citation comes from a 2024 study titled Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers. This article reached its peak citation in 2019, with 11 citations. It has been cited in 42 different journals, 7% of which are open access. Among related journals, the Computational Statistics & Data Analysis cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year