Automatic and location-adaptive estimation in functional single-index regression

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/10485252.2019.1567726
  • Publication Date
    2019/01/18
  • Journal
    Journal of Nonparametric Statistics
  • Indian UGC (journal)
  • Refrences
    39
  • Citations
    19
  • Silvia Novo Departamento de Matemáticas, Universidade da Coruña, A Coruña, SpainCentro de Investigación de Tecnoloxías da Información e da Comunicación (CITIC), A Coruña, France
  • Germán Aneiros Departamento de Matemáticas, Universidade da Coruña, A Coruña, SpainCentro de Investigación de Tecnoloxías da Información e da Comunicación (CITIC), A Coruña, FranceInstituto Tecnológico de Matemática Industrial (ITMATI), A Coruña, France
  • Philippe Vieu Institut de Mathématiques, Université Paul Sabatier, Toulouse, France
Cite
Novo, Silvia, et al. “Automatic and Location-Adaptive Estimation in Functional Single-Index Regression”. Journal of Nonparametric Statistics, vol. 31, no. 2, 2019, pp. 364-92, https://doi.org/10.1080/10485252.2019.1567726.
Novo, S., Aneiros, G., & Vieu, P. (2019). Automatic and location-adaptive estimation in functional single-index regression. Journal of Nonparametric Statistics, 31(2), 364-392. https://doi.org/10.1080/10485252.2019.1567726
Novo, Silvia, Germán Aneiros, and Philippe Vieu. “Automatic and Location-Adaptive Estimation in Functional Single-Index Regression”. Journal of Nonparametric Statistics 31, no. 2 (2019): 364-92. https://doi.org/10.1080/10485252.2019.1567726.
1.
Novo S, Aneiros G, Vieu P. Automatic and location-adaptive estimation in functional single-index regression. Journal of Nonparametric Statistics. 2019;31(2):364-92.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics14
Science: Mathematics14
Social Sciences: Commerce: Business: Accounting. Bookkeeping5
Social Sciences: Finance5
Science: Science (General)1
The category Science: Mathematics: Probabilities. Mathematical statistics 14 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled On semiparametric regression in functional data analysis and was published in 2020. The most recent citation comes from a 2024 study titled Weak convergence of the conditional single index $ U $-statistics for locally stationary functional time series. This article reached its peak citation in 2024, with 4 citations. It has been cited in 12 different journals, 8% of which are open access. Among related journals, the Journal of Multivariate Analysis cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year