Estimation of eigenvalues, eigenvectors and scores in FDA models with dependent errors
From MaRDI portal
Publication:272079
DOI10.1016/j.jmva.2016.02.002zbMath1334.62053OpenAlexW2259552167MaRDI QIDQ272079
Publication date: 20 April 2016
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2016.02.002
Nonparametric regression and quantile regression (62G08) Multivariate analysis (62H99) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Non-Markovian processes: estimation (62M09) Inference from stochastic processes (62M99)
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Cites Work
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- A partial overview of the theory of statistics with functional data
- Inference for functional data with applications
- Recent advances in functional data analysis and related topics. Selected papers based on the presentations at the international workshop on functional and operatorial statistics (IWFOS'2011), Santander, Spain, June 16--18, 2011.
- Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
- Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data
- Consistency of the regression estimator with functional data under long memory conditions
- Local functional principal component analysis
- Applied functional data analysis. Methods and case studies
- Functional data analysis of the dynamics of the monthly index of nondurable goods production.
- On estimation of mean and covariance functions in repeated time series with long-memory errors
- Nonparametric regression estimation for functional stationary ergodic data with missing at random
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Properties of principal component methods for functional and longitudinal data analysis
- High-dimensional principal projections
- Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate
- Time-invariant long-range correlations in electroencephalogram dynamics
- Smooth optimum kernel estimators near endpoints
- Theory for high-order bounds in functional principal components analysis
- Functional Data Analysis with R and MATLAB
- Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting
- Kernel Regression Estimation Using Repeated Measurements Data
- The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
- Quasi-likelihood Estimation in Semiparametric Models
- A family of minimax rates for density estimators in continuous time
- Nonparametric Regression Analysis of Longitudinal Data
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
- Long-Memory Processes
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Inference and Prediction in Large Dimensions
- On Properties of Functional Principal Components Analysis
- Functional Data Analysis for Sparse Longitudinal Data
- Nonparametric trend estimation in replicated time series
