Rates of convergence for the sup-norm risk in image models under sequential designs

DOI10.1016/S0167-7152(99)00128-5zbMath0976.62079OpenAlexW2033680601MaRDI QIDQ1970835

Alexander Korostelev, Jae-Chun Kim

Publication date: 8 January 2002

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(99)00128-5

zbMATH Keywords

sup-norm lossimage modelsasymptotic minimax rates

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Sequential statistical design (62L05)

Related Items

Adaptive sensing performance lower bounds for sparse signal detection and support estimation

Cites Work

• Minimax theory of image reconstruction
• Optimal global rates of convergence for nonparametric regression
• On minimax rates of convergence in image models under sequential design
• Bounds for the Risks of Non-Parametric Regression Estimates

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