Polynomial spline estimation for partial functional linear regression models

Article Properties
Cite
Zhou, Jianjun, et al. “Polynomial Spline Estimation for Partial Functional Linear Regression Models”. Computational Statistics, vol. 31, no. 3, 2016, pp. 1107-29, https://doi.org/10.1007/s00180-015-0636-0.
Zhou, J., Chen, Z., & Peng, Q. (2016). Polynomial spline estimation for partial functional linear regression models. Computational Statistics, 31(3), 1107-1129. https://doi.org/10.1007/s00180-015-0636-0
Zhou, Jianjun, Zhao Chen, and Qingyan Peng. “Polynomial Spline Estimation for Partial Functional Linear Regression Models”. Computational Statistics 31, no. 3 (2016): 1107-29. https://doi.org/10.1007/s00180-015-0636-0.
Zhou J, Chen Z, Peng Q. Polynomial spline estimation for partial functional linear regression models. Computational Statistics. 2016;31(3):1107-29.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
You May Also Like
Refrences
Title Journal Journal Categories Citations Publication Date
Spline estimators for semi-functional linear model Statistics & Probability Letters
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 26 2012
Functional partial linear model Journal of Nonparametric Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 61 2011
Partial functional linear regression Journal of Statistical Planning and Inference
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 108 2009
Local linear regression for functional predictor and scalar response Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
 83 2009
10.1214/07-AOS563 2009
Refrences Analysis
Category Category Repetition
Science: Mathematics4
Science: Mathematics: Probabilities. Mathematical statistics3
Technology: Mechanical engineering and machinery2
Social Sciences: Economic theory. Demography: Economics as a science2
Social Sciences: Commerce: Business2
Science: Biology (General)2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General)1
Social Sciences: Statistics1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
The category Science: Mathematics 4 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Automatic Control and Journal of the American Statistical Association. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Adaptive slicing for functional slice inverse regression Statistical Papers
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2024
Hypothesis testing for points of impact in functional linear regression Computational and Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2024
Statistical inference in the partial functional linear expectile regression model Science China Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 3 2022
Weighted composite asymmetric Huber estimation for partial functional linear models

 AIMS Mathematics 2022
Composite Quantile Estimation in Partial Functional Linear Regression Model Based on Polynomial Spline Acta Mathematica Sinica, English Series
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2021
Citations Analysis
Category Category Repetition
Science: Mathematics14
Science: Mathematics: Probabilities. Mathematical statistics9
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods3
The category Science: Mathematics 14 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Partial Functional Linear Models with ARCH Errors and was published in 2018. The most recent citation comes from a 2024 study titled Hypothesis testing for points of impact in functional linear regression. This article reached its peak citation in 2020, with 5 citations. It has been cited in 15 different journals, 6% of which are open access. Among related journals, the Communications in Statistics - Theory and Methods 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