Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health
From MaRDI portal
Publication:5037830
DOI10.5705/SS.202019.0219OpenAlexW3174801174MaRDI QIDQ5037830
Publication date: 4 March 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.00101
consistencyfunctional datacovariance estimationlongitudinal studiescross-sectionalpartial trajectories
Related Items (2)
Robust Inference for Partially Observed Functional Response Data ⋮ Covariance estimation error of incomplete functional data under RKHS framework
Cites Work
- Unnamed Item
- Unnamed Item
- High-dimensional covariance matrix estimation with missing observations
- Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
- High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity
- Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data
- Optimal rates of convergence for covariance matrix estimation
- Adaptive covariance matrix estimation through block thresholding
- Regularized estimation of large covariance matrices
- Cross-Validation of Regression Models
- Principal component models for sparse functional data
- Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
- Approximating fragmented functional data by segments of Markov chains
- Classification Using Censored Functional Data
- On Properties of Functional Principal Components Analysis
- Recovering covariance from functional fragments
- Fast BivariateP-Splines: The Sandwich Smoother
- Functional Data Analysis for Sparse Longitudinal Data
- Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation
This page was built for publication: Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health
