Semi-functional partial linear quantile regression
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/11/01
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Journal
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Indian UGC (journal)
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Refrences23
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Citations4
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Hui Ding
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Zhiping Lu
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Jian Zhang
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Riquan Zhang
Cite
Ding, Hui, et al. “Semi-Functional Partial Linear Quantile Regression”. Statistics &Amp; Probability Letters, vol. 142, 2018, pp. 92-101, https://doi.org/10.1016/j.spl.2018.07.007.
Ding, H., Lu, Z., Zhang, J., & Zhang, R. (2018). Semi-functional partial linear quantile regression. Statistics &Amp; Probability Letters, 142, 92-101. https://doi.org/10.1016/j.spl.2018.07.007
Ding, Hui, Zhiping Lu, Jian Zhang, and Riquan Zhang. “Semi-Functional Partial Linear Quantile Regression”. Statistics &Amp; Probability Letters 142 (2018): 92-101. https://doi.org/10.1016/j.spl.2018.07.007.
Ding H, Lu Z, Zhang J, Zhang R. Semi-functional partial linear quantile regression. Statistics & Probability Letters. 2018;142:92-101.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A general framework for functional regression modelling | 2017 | |||
| Variable selection in partial linear regression with functional covariate | Statistics |
| 23 | 2015 |
Functional Regression | Annual Review of Statistics and Its Application |
| 243 | 2015 |
| Uniform consistency of NN regressors for functional variables | Statistics & Probability Letters |
| 74 | 2013 |
Conditional Quantile Analysis When Covariates are Functions, with Application to Growth Data | Journal of the Royal Statistical Society Series B: Statistical Methodology |
| 57 | 2012 |
Refrences Analysis
The category
Science: Mathematics 12
is the most frequently represented among the references in this article. It primarily includes studies from The Annals of Statistics and Journal of Multivariate Analysis. 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 |
|---|---|---|---|---|
| Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses | Communications in Mathematics and Statistics |
| 2024 | |
| Local linear estimate of the functional expectile regression | Statistics & Probability Letters |
| 8 | 2023 |
| Functional Nonparametric Predictions in Food Industry Using Near-Infrared Spectroscopy Measurement | Computers, Materials & Continua | 2 | 2023 | |
| Nonparametric estimation of expectile regression in functional dependent data | Journal of Nonparametric Statistics |
| 25 | 2022 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics | 3 |
| Science: Mathematics: Probabilities. Mathematical statistics | 2 |
The category
Science: Mathematics 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nonparametric estimation of expectile regression in functional dependent data and was published in 2022. The most recent citation comes from a 2024 study titled Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses. This article reached its peak citation in 2023, with 2 citations. It has been cited in 4 different journals. Among related journals, the Communications in Mathematics and Statistics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.