Pages that link to "Item:Q794111"

The following pages link to Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference (Q794111):

Displaying 50 items.

• Robust functional principal component analysis based on a new regression framework (Q2102971) (← links)
• Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional \(U\)-statistics involving functional data (Q2103273) (← links)
• Preprocessing noisy functional data: a multivariate perspective (Q2106796) (← links)
• Relative perturbation bounds with applications to empirical covariance operators (Q2111217) (← links)
• Lower bounds for invariant statistical models with applications to principal component analysis (Q2157446) (← links)
• A joint latent factor analyzer and functional subspace model for clustering multivariate functional data (Q2172118) (← links)
• Frequency domain theory for functional time series: variance decomposition and an invariance principle (Q2175006) (← links)
• Efficient estimation of linear functionals of principal components (Q2176629) (← links)
• A note on quadratic forms of stationary functional time series under mild conditions (Q2182632) (← links)
• Estimation and inference in partially functional linear regression with multiple functional covariates (Q2189097) (← links)
• Nonasymptotic upper bounds for the reconstruction error of PCA (Q2196210) (← links)
• A test for separability in covariance operators of random surfaces (Q2215739) (← links)
• A Darling-Erdős-type CUSUM-procedure for functional data (Q2256595) (← links)
• Functional data classification: a wavelet approach (Q2259803) (← links)
• Inferential procedures for partially observed functional data (Q2274966) (← links)
• Intrinsic Riemannian functional data analysis (Q2284383) (← links)
• Skew-normal partial functional linear model and homogeneity test (Q2317342) (← links)
• A modification of Silverman's method for smoothed functional principal components analysis (Q2320911) (← links)
• Principal components analysis of regularly varying functions (Q2325395) (← links)
• A moment-based notion of time dependence for functional time series (Q2330725) (← links)
• Generalized functional extended redundancy analysis (Q2348187) (← links)
• On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA (Q2348740) (← links)
• A biorthogonal decomposition for the identification and simulation of non-stationary and non-Gaussian random fields (Q2375109) (← links)
• Covariate adjusted functional principal components analysis for longitudinal data (Q2380101) (← links)
• Asymptotic properties of principal component projections with repeated eigenvalues (Q2407519) (← links)
• Functional data clustering: a survey (Q2418370) (← links)
• A test of significance in functional quadratic regression (Q2435237) (← links)
• Cramér-Karhunen-Loève representation and harmonic principal component analysis of functional time series (Q2447653) (← links)
• Penalized PCA approaches for B-spline expansions of smooth functional data (Q2451379) (← links)
• The delta method for analytic functions of random operators with application to functional data (Q2469671) (← links)
• On rates of convergence in functional linear regression (Q2474243) (← links)
• The one- and multi-sample problem for functional data with application to projective shape analysis (Q2482130) (← links)
• Estimation in generalized linear models for functional data via penalized likelihood (Q2486170) (← links)
• A sufficient condition for the CLT in the space of nuclear operators -- application to covariance of random functions (Q2497812) (← links)
• Properties of principal component methods for functional and longitudinal data analysis (Q2500460) (← links)
• Assessing extrema of empirical principal component functions (Q2500461) (← links)
• Forecasting functional time series (Q2510693) (← links)
• Discussion: Forecasting functional time series (Q2510694) (← links)
• High-dimensional principal projections (Q2514169) (← links)
• Fast covariance estimation for high-dimensional functional data (Q2631375) (← links)
• Asymptotically efficient estimation of smooth functionals of covariance operators (Q2659447) (← links)
• Optimal function-on-scalar regression over complex domains (Q2683187) (← links)
• Indeterminacy problems in factor analysis and optimal principal component analysis (Q2750809) (← links)
• Some extremal properties of the singular values of a compact operator and their application to the factor analysis of a probability or a random function. II: Linear factor analysis criteria for a probability or a random function (Q2771978) (← links)
• Interpretable functional principal component analysis (Q2827196) (← links)
• More on functional data analysis and other aspects in OODA (Q2922184) (← links)
• On asymptotic distribution of prediction in functional linear regression (Q2953441) (← links)
• Seeking relevant information from a statistical model (Q2954246) (← links)
• PCA-kernel estimation (Q3224135) (← links)
• Multi-class classification of biomechanical data: A functional LDA approach based on multi-class penalized functional PLS (Q3386481) (← links)