المؤلفون: Zhong, Qixian¹ (AUTHOR), Wang, Jane-Ling² (AUTHOR) janelwang@ucdavis.edu

المصدر: Journal of Business & Economic Statistics. Apr2024, Vol. 42 Issue 2, p603-614. 12p.

مصطلحات موضوعية: *ARTIFICIAL neural networks, *REGRESSION analysis, QUANTILE regression, INFERENTIAL statistics, DEEP learning

المؤلفون: Li, Ker-Chau, Wang, Jane-Ling, Chen, Chun-Houh

المصدر: The Annals of Statistics, 1999 Feb 01. 27(1), 1-23.

الوصول الحر: https://www.jstor.org/stable/120115Test

المؤلفون: Hall, Peter, Müller, Hans-Georg, Wang, Jane-Ling

المصدر: The Annals of Statistics, 2006 Jun 01. 34(3), 1493-1517.

الوصول الحر: https://www.jstor.org/stable/25463465Test

المؤلفون: Hall, Peter, Müller, Hans-Georg, Wang, Jane-Ling

المصدر: Annals of Statistics 2006, Vol. 34, No. 3, 1493-1517

مصطلحات موضوعية: biomedical studies, curse of dimensionality, eigenfunction, eigenvector, eigenvalue, Karhunen–Loève expansion, local polynomial methods, nonparametric, operator theory, optimal convergence rate, principal component analysis, rate of convergence, semiparametric, sparse data, spectral decomposition, smoothing

العلاقة: http://hdl.handle.net/1885/15353Test; https://openresearch-repository.anu.edu.au/bitstream/1885/15353/4/Hall+Muller+andTest+Wang+Poperties+of+principal+component+methods+2006.pdf.jpg

الإتاحة: https://doi.org/10.1214/009053606000000272Test
http://hdl.handle.net/1885/15353Test
https://openresearch-repository.anu.edu.au/bitstream/1885/15353/4/Hall+Muller+andTest+Wang+Poperties+of+principal+component+methods+2006.pdf.jpg