Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference38 articles.
1. F. Bauer, T. Hohage, and A. Munk, “Iteratively Regularized Gauss-Newton Method for Nonlinear Inverse Problems with Random Noise”, SIAMJ.Numer. Anal. 47(3), 1827–1846 (2009).
2. K. Bertin and V. Rivoirard, “Maxiset in Sup-Norm for Kernel Estimators”, TEST 18(3), 475–496 (2009).
3. O. V. Besov, V. P. Il’in, and S. M. Nikol’skii, Integral Representations of Functions and Imbedding Theorems, in Scripta Series in Mathematics, Vols. I and II. (Winston, Washington, D.C., 1978); (Halsted Press [Wiley], New York-Toronto, Ont.-London 1979).
4. R. J. Carroll, J. Fan, I. Gijbels, and M. P. Wand, “Generalized Partially Linear Single-Index Models”, J. Amer. Statist. Assoc. 92(438), 477–489 (1997).
5. M. Chichignoud, “Minimax and Minimax Adaptive Estimation in Multiplicative Regression: Locally Bayesian Approach”, Probab. Theory Rel. Fields 153(3–4), 543–586 (2012).
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献