A wavelet-based method in aggregated functional data analysis
From MaRDI portal
Publication:6123182
DOI10.1515/mcma-2023-2016arXiv2205.15969OpenAlexW4387615948MaRDI QIDQ6123182
Publication date: 4 March 2024
Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.15969
Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Empirical decision procedures; empirical Bayes procedures (62C12)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A practical guide to splines
- Unconditional bases are optimal bases for data compression and for statistical estimation
- A comparison of regression spline smoothing procedures
- Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
- Functional data analysis.
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- Ten Lectures on Wavelets
- Multivariate Bayesian Variable Selection and Prediction
- Ideal spatial adaptation by wavelet shrinkage
- Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem
- Semiparametric Regression
- De-noising by soft-thresholding
- Bayesian wavelet shrinkage with logistic prior
- Noise reduction by wavelet thresholding
This page was built for publication: A wavelet-based method in aggregated functional data analysis
