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

DOI10.1007/s11009-018-9626-3zbMath1411.62316OpenAlexW2789880088MaRDI QIDQ1739346

Sam Efromovich, Jiayi Wu

Publication date: 26 April 2019

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-018-9626-3

zbMATH Keywords

cross-correlationbig dataneuroplasticityadaptive thresholdwavelet denoisinglarge-\(p\)-small-\(n\)simultaneous confidence boundsneural pathways

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Uses Software

• R
• WaveThresh4
• neuRosim

Cites Work

• The statistical analysis of functional MRI data
• Nonparametric curve estimation. Methods, theory, and applications
• Aggregated wavelet estimation and its application to ultra-fast fMRI
• Quasi-Linear Wavelet Estimation
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