Aggregated wavelet estimation and its application to ultra-fast fMRI

DOI10.1080/10485251003653468zbMath1294.62081OpenAlexW2148897344MaRDI QIDQ3068108

Sam Efromovich, Zibonele A. Valdez-Jasso

Publication date: 13 January 2011

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485251003653468

zbMATH Keywords

noiseBesov spacemultiresolutionregressionadaptationnonparametricbrainMISEneuron

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items (1)

Wavelet analysis of big data contaminated by large noise in an fMRI study of neuroplasticity

Cites Work

• Unnamed Item
• The statistical analysis of functional MRI data
• Robust nonparametric estimation via wavelet median regression
• A data-driven block thresholding approach to wavelet estimation
• Nonparametric curve estimation. Methods, theory, and applications
• Aggregating regression procedures to improve performance
• Adaptive wavelet estimation: A block thresholding and oracle inequality approach
• Can adaptive estimators for Fourier series be of interest to wavelets?
• Sharp linear and block shrinkage wavelet estimation.
• General empirical Bayes wavelet methods and exactly adaptive minimax estimation
• Minimax estimation via wavelet shrinkage
• A distribution-free theory of nonparametric regression
• Aggregation for Gaussian regression
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Modern Multivariate Statistical Techniques
• Ideal spatial adaptation by wavelet shrinkage
• Adaptive Regression by Mixing
• Quasi-Linear Wavelet Estimation
• Block-dependent thresholding in wavelet regression

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