Advances on asymptotic normality in non-parametric functional time series analysis

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Delsol, Laurent. “Advances on Asymptotic Normality in Non-Parametric Functional Time Series Analysis”. Statistics, vol. 43, no. 1, 2009, pp. 13-33, https://doi.org/10.1080/02331880802184961.
Delsol, L. (2009). Advances on asymptotic normality in non-parametric functional time series analysis. Statistics, 43(1), 13-33. https://doi.org/10.1080/02331880802184961
Delsol, Laurent. “Advances on Asymptotic Normality in Non-Parametric Functional Time Series Analysis”. Statistics 43, no. 1 (2009): 13-33. https://doi.org/10.1080/02331880802184961.
Delsol L. Advances on asymptotic normality in non-parametric functional time series analysis. Statistics. 2009;43(1):13-3.
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Regression estimation for continuous-time functional data processes with missing at random response Journal of Nonparametric Statistics
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 Axioms
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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics40
Science: Mathematics39
Social Sciences: Commerce: Business: Accounting. Bookkeeping5
Social Sciences: Finance5
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods2
Social Sciences: Economic theory. Demography: Economics as a science1
Social Sciences: Statistics1
Social Sciences: Commerce: Business1
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
The category Science: Mathematics: Probabilities. Mathematical statistics 40 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled On the Validity of the Bootstrap in Non-Parametric Functional Regression and was published in 2009. The most recent citation comes from a 2024 study titled Regression estimation for continuous-time functional data processes with missing at random response. This article reached its peak citation in 2016, with 7 citations. It has been cited in 25 different journals, 12% of which are open access. Among related journals, the Journal of Nonparametric Statistics 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