Bootstrap Inference for Quantile-based Modal Regression
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2021/06/01
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Indian UGC (journal)
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Refrences49
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Citations4
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Tao Zhang Department of Statistics and Data Science, Cornell University, Ithaca, NY;
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Kengo Kato Department of Statistics and Data Science, Cornell University, Ithaca, NY;
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David Ruppert Department of Statistics and Data Science, Cornell University, Ithaca, NY;School of Operations Research and Information Engineering, Cornell University, Ithaca, NY
Cite
Zhang, Tao, et al. “Bootstrap Inference for Quantile-Based Modal Regression”. Journal of the American Statistical Association, vol. 118, no. 541, 2021, pp. 122-34, https://doi.org/10.1080/01621459.2021.1918130.
Zhang, T., Kato, K., & Ruppert, D. (2021). Bootstrap Inference for Quantile-based Modal Regression. Journal of the American Statistical Association, 118(541), 122-134. https://doi.org/10.1080/01621459.2021.1918130
Zhang T, Kato K, Ruppert D. Bootstrap Inference for Quantile-based Modal Regression. Journal of the American Statistical Association. 2021;118(541):122-34.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | Journal of Machine Learning Research |
| 2020 | |
| Advances in Neural Information Processing Systems | 2017 | |||
| Advances in Neural Information Processing Systems | Journal of Economic Literature |
| 1991 | |
| Asymptotic Statistics | 2000 | |||
| Local modal regression | Journal of Nonparametric Statistics |
| 79 | 2012 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Parametric modal regression with error in covariates | Biometrical Journal |
| 2024 | |
The Flexible Gumbel Distribution: A New Model for Inference about the Mode | Stats |
| 2024 | |
| A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions | Computational Statistics |
| 2023 | |
| Nonparametric statistical learning based on modal regression | Journal of Computational and Applied Mathematics |
| 5 | 2022 |
Citations Analysis
The category
Science: Mathematics 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nonparametric statistical learning based on modal regression and was published in 2022. The most recent citation comes from a 2024 study titled The Flexible Gumbel Distribution: A New Model for Inference about the Mode. This article reached its peak citation in 2024, with 2 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Stats cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.