A general framework for tensor screening through smoothing
Author:
Affiliation:
1. Department of Statistics, Florida State University, Tallahassee, Florida 32306, U.S.A
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference60 articles.
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4. Chang, J., Tang, C. Y. and Wu, Y. (2016). Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood. The Annals of Statistics 44 515–539.
5. Chi, E. C. and Kolda, T. G. (2012). On tensors, sparsity, and nonnegative factorizations. SIAM Journal on Matrix Analysis and Applications 33 1272–1299.
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