Functional principal subspace sampling for large scale functional data analysis
Author:
Affiliation:
1. Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Bejing, 100872, China
2. Department of Statistics, Texas A&M University, College Station, TX, 77840, USA
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference55 articles.
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2. BERMEJO, J. M., RAMOS, A. A. and PRIETO, C. A. (2013). A PCA approach to stellar effective temperatures. Astronomy & Astrophysics 553 A95.
3. CARDOT, H., DEGRAS, D. and JOSSERAND, E. (2013). Confidence bands for Horvitz–Thompson estimators using sampled noisy functional data. Bernoulli 19 2067–2097.
4. CARDOT, H., GOGA, C. and LARDIN, P. (2013). Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data. Electronic journal of statistics 7 562–596.
5. CARDOT, H. and JOSSERAND, E. (2011). Horvitz–Thompson estimators for functional data: Asymptotic confidence bands and optimal allocation for stratified sampling. Biometrika 98 107–118.
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