A constrained risk inequality with applications to nonparametric functional estimation
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[1] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[2] Almost Subminimax and Biased Minimax Procedures , 1951 .
[3] J. L. Hodges,et al. The use of Previous Experience in Reaching Statistical Decisions , 1952 .
[4] Le Cam,et al. On some asymptotic properties of maximum likelihood estimates and related Bayes' estimates , 1953 .
[5] R. Z. Khasʹminskiĭ,et al. Statistical estimation : asymptotic theory , 1981 .
[6] P. Bickel. MINIMAX ESTIMATION OF THE MEAN OF A NORMAL DISTRIBUTION SUBJECT TO DOING WELL AT A POINT , 1983 .
[7] P. Bickel. Parametric Robustness: Small Biases can be Worthwhile , 1984 .
[8] H. Robbins. Asymptotically Subminimax Solutions of Compound Statistical Decision Problems , 1985 .
[9] S. Efroimovich. Nonparametric Estimation of a Density of Unknown Smoothness , 1986 .
[10] D. Donoho,et al. Geometrizing Rates of Convergence, III , 1991 .
[11] O. Lepskii. On a Problem of Adaptive Estimation in Gaussian White Noise , 1991 .
[12] Renormalization and White Noise Approximation for Nonparametric Functional Estimation Problems , 1992 .
[13] O. Lepskii. Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates , 1992 .
[14] D. Donoho,et al. Renormalization Exponents and Optimal Pointwise Rates of Convergence , 1992 .
[15] O. Lepskii,et al. On problems of adaptive estimation in white Gaussian noise , 1992 .
[16] Sam Efromovich,et al. Adaptive estimates of linear functionals , 1994 .
[17] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[18] L. Brown,et al. Asymptotic equivalence of nonparametric regression and white noise , 1996 .
[19] I. Johnstone,et al. Neo-classical minimax problems, thresholding and adaptive function estimation , 1996 .
[20] M. Nussbaum. Asymptotic Equivalence of Density Estimation and Gaussian White Noise , 1996 .