Weighted empirical likelihood inference for dynamical correlations

DOI10.1016/j.csda.2018.07.003zbMath1471.62180OpenAlexW2884300689WikidataQ129492932 ScholiaQ129492932MaRDI QIDQ1615277

Peijun Sang, Jiguo Cao, Liang-Liang Wang

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.07.003

zbMATH Keywords

bootstrapempirical likelihoodfunctional data analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (5)

Editorial for the special issue on high-dimensional and functional data analysis ⋮ A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity ⋮ Functional spherical autocorrelation: a robust estimate of the autocorrelation of a functional time series ⋮ Modified empirical likelihood-based confidence intervals for data containing many zero observations ⋮ An association test for functional data based on Kendall's tau

Uses Software

• fda (R)
• GeneNet
• Nmmapsdata
• dynCorr

Cites Work

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• Functional Singular Component Analysis
• Comparing the shapes of regression functions
• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling
• Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis
• Dynamical Correlation for Multivariate Longitudinal Data

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