Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors
Author:
Affiliation:
1. School of Mathematics and Statistics, Wuhan University
2. Department of Applied Mathematics, Hong Kong Polytechnic University
3. Department of Statistics, Chinese University of Hong Kong
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference92 articles.
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2. Falconer, K. (2003). Fractal Geometry: Mathematical Foundations and Applications, 2nd ed. Wiley, Hoboken, NJ.
3. Yang, Y. and Dunson, D. B. (2016). Bayesian manifold regression. Ann. Statist. 44 876–905.
4. Stone, C. J. (1986). The dimensionality reduction principle for generalized additive models. Ann. Statist. 14 590–606.
5. Birgé, L. and Massart, P. (1998). Minimum contrast estimators on sieves: exponential bounds and rates of convergence. Bernoulli 4 329–375.
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