MICE: Multiple‐Peak Identification, Characterization, and Estimation

DOI10.1111/j.1541-0420.2006.00688.xzbMath1136.62399OpenAlexW2150123648WikidataQ30363336 ScholiaQ30363336MaRDI QIDQ5459602

Nicoleta Serban

Publication date: 29 April 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00688.x

zbMATH Keywords

nuclear magnetic resonancebackfittingprotein structure determinationmixture detectiontensor-product wavelet decomposition

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Biochemistry, molecular biology (92C40) Estimation in survival analysis and censored data (62N02)

Related Items

Theoretical limits of component identification in a separable nonlinear least-squares problem, A statistical test for mixture detection with application to component identification in multidimensional biomolecular NMR studies, Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies

Uses Software

• EFDR

Cites Work

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• Adaptive wavelet estimation: A block thresholding and oracle inequality approach
• The geometry of correlation fields with an application to functional connectivity of the brain
• Testing monotonicity of regression.
• Multiscale testing of qualitative hypotheses
• From linear to nonlinear iterative methods
• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Singularity detection and processing with wavelets
• Ten Lectures on Wavelets
• Nonparametric Hypothesis Testing for a Spatial Signal
• False Discovery Control for Random Fields
• Jump and sharp cusp detection by wavelets