Bootstrap in semi-functional partial linear regression under dependence

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Aneiros, Germán, et al. “Bootstrap in Semi-Functional Partial Linear Regression under Dependence”. TEST, vol. 27, no. 3, 2017, pp. 659-7, https://doi.org/10.1007/s11749-017-0566-y.
Aneiros, G., Raña, P., Vieu, P., & Vilar, J. (2017). Bootstrap in semi-functional partial linear regression under dependence. TEST, 27(3), 659-679. https://doi.org/10.1007/s11749-017-0566-y
Aneiros, Germán, Paula Raña, Philippe Vieu, and Juan Vilar. “Bootstrap in Semi-Functional Partial Linear Regression under Dependence”. TEST 27, no. 3 (2017): 659-79. https://doi.org/10.1007/s11749-017-0566-y.
Aneiros G, Raña P, Vieu P, Vilar J. Bootstrap in semi-functional partial linear regression under dependence. TEST. 2017;27(3):659-7.
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Citations
Title Journal Journal Categories Citations Publication Date
Local linear-$k$NN smoothing for semi-functional partial linear regression

 Hacettepe Journal of Mathematics and Statistics 2024
Estimation for partial functional partially linear additive model Computational Statistics & Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2 2023
On semiparametric regression in functional data analysis

 WIREs Computational Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
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 6 2020
Optimal model averaging estimator for semi-functional partially linear models Metrika
  • Science: Mathematics: Probabilities. Mathematical statistics
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 2020
Composite quantile estimation in partial functional linear regression model with dependent errors Metrika
  • Science: Mathematics: Probabilities. Mathematical statistics
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 8 2019
Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics5
Science: Mathematics5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Social Sciences: Commerce: Business: Accounting. Bookkeeping1
Social Sciences: Finance1
The category Science: Mathematics: Probabilities. Mathematical statistics 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nonparametric modelling for functional data: selected survey and tracks for future and was published in 2018. The most recent citation comes from a 2024 study titled Local linear-$k$NN smoothing for semi-functional partial linear regression. This article reached its peak citation in 2020, with 2 citations. It has been cited in 7 different journals, 14% of which are open access. Among related journals, the Metrika cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year