Pages that link to "Item:Q2500460"

The following pages link to Properties of principal component methods for functional and longitudinal data analysis (Q2500460):

Displaying 50 items.

• Partially function linear error-in-response models with validation data (Q2398855) (← links)
• Asymptotic properties of principal component projections with repeated eigenvalues (Q2407519) (← links)
• Cramér-Karhunen-Loève representation and harmonic principal component analysis of functional time series (Q2447653) (← links)
• A functional data analysis approach for genetic association studies (Q2453682) (← links)
• The M-estimator for functional linear regression model (Q2453891) (← links)
• Forecasting functional time series (Q2510693) (← links)
• Semiparametric GEE analysis in partially linear single-index models for longitudinal data (Q2515493) (← links)
• Nonparametric inference in generalized functional linear models (Q2515495) (← links)
• Component analysis in cross-sectional and longitudinal data (Q2639522) (← links)
• Nonlinear and additive principal component analysis for functional data (Q2657189) (← links)
• Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models (Q2666058) (← links)
• Classical testing in functional linear models (Q2832030) (← links)
• Recovering gradients from sparsely observed functional data (Q2846447) (← links)
• Time-Varying Additive Models for Longitudinal Data (Q2861811) (← links)
• Simultaneous inference for the mean function based on dense functional data (Q2892931) (← links)
• Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis (Q2932767) (← links)
• Exploring Spatial and Temporal Variations of Cadmium Concentrations in Pacific Oysters from British Columbia (Q3100828) (← links)
• Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data (Q3121179) (← links)
• Longitudinal Principal Component Analysis With an Application to Marketing Data (Q3391432) (← links)
• A NONPARAMETRIC ESTIMATOR FOR THE COVARIANCE FUNCTION OF FUNCTIONAL DATA (Q3465607) (← links)
• Varying Coefficient Model with Unknown Within‐Subject Covariance for Analysis of Tumor Growth Curves (Q3549385) (← links)
• Cherry-picking for complex data: robust structure discovery (Q3559950) (← links)
• Bivariate splines for spatial functional regression models (Q3569215) (← links)
• A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors (Q3576922) (← links)
• Derivative Principal Components for Representing the Time Dynamics of Longitudinal and Functional Data (Q4571224) (← links)
• Semiparametric model average prediction in panel data analysis (Q4634445) (← links)
• Modeling Repeated Functional Observations (Q4904736) (← links)
• Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo (Q4932236) (← links)
• Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes (Q4962426) (← links)
• Adaptive Global Testing for Functional Linear Models (Q4975404) (← links)
• Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities (Q4975561) (← links)
• Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance (Q4975570) (← links)
• A block bootstrap for quasi-likelihood in sparse functional data (Q4999843) (← links)
• Applying functional data analysis to assess tele-interpersonal psychotherapy's efficacy to reduce depression (Q5036497) (← links)
• Coherent mortality forecasting by the weighted multilevel functional principal component approach (Q5036626) (← links)
• Correction: Derivative principal components for representing the time dynamics of longitudinal and functional data (Q5037822) (← links)
• Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction (Q5057247) (← links)
• Eigen-Adjusted Functional Principal Component Analysis (Q5057248) (← links)
• Inference and Computation for Sparsely Sampled Random Surfaces (Q5057273) (← links)
• A New Functional Estimation Procedure for Varying Coefficient Models (Q5079467) (← links)
• Functional polynomial multiple-index model (Q5086369) (← links)
• Functional data clustering using principal curve methods (Q5104527) (← links)
• Functional time series approach for forecasting very short-term electricity demand (Q5128897) (← links)
• Inference for Generalized partial functional linear regression (Q5134481) (← links)
• Functional lagged regression with sparse noisy observations (Q5135326) (← links)
• (Q5148986) (← links)
• FUNCTIONAL ADDITIVE QUANTILE REGRESSION (Q5155190) (← links)
• A Simultaneous Confidence Band for Dense Longitudinal Regression (Q5177613) (← links)
• FSEM: Functional Structural Equation Models for Twin Functional Data (Q5229916) (← links)
• Partially Linear Functional Additive Models for Multivariate Functional Data (Q5229922) (← links)