Pages that link to "Item:Q4498170"

The following pages link to Nonparametric estimation of smoothed principal components analysis of sampled noisy functions (Q4498170):

Displaying 43 items.

• Asymptotics for the smoothing cubic spline estimate in a longitudinal regression model with random process noise. (Q556959) (← links)
• Functional data analysis for clients segmentation tasks (Q704082) (← links)
• Sampled forms of functional PCA in reproducing kernel Hilbert spaces (Q741794) (← links)
• Prediction in functional linear regression (Q869966) (← links)
• Variational Bayesian functional PCA (Q961145) (← links)
• Structural components in functional data (Q961805) (← links)
• Computational considerations in functional principal component analysis (Q964622) (← links)
• Smoothing splines estimators for functional linear regression (Q1002148) (← links)
• Nonparametric estimation of a trend based upon sampled continuous processes (Q1004556) (← links)
• Smoothing splines estimators in functional linear regression with errors-in-variables (Q1020144) (← links)
• Properties of design-based functional principal components analysis (Q1036706) (← links)
• Smoothed perturbation analysis for a class of piecewise constant sample performance functions (Q1198590) (← links)
• Spatially adaptive splines for statistical linear inverse problems (Q1604621) (← links)
• Optimal weighting schemes for longitudinal and functional data (Q1642270) (← links)
• Describing the concentration of income populations by functional principal component analysis on Lorenz curves (Q1733264) (← links)
• Weighted least squares methods for prediction in the functional data linear model (Q1952006) (← links)
• Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach (Q1952256) (← links)
• Oracle-efficient estimation for functional data error distribution with simultaneous confidence band (Q2072397) (← links)
• Resolvent estimators for functional autoregressive processes with random coefficients (Q2078551) (← links)
• Consistently recovering the signal from noisy functional data (Q2078554) (← links)
• Sparse logistic functional principal component analysis for binary data (Q2108927) (← links)
• In-game win probabilities for the National Rugby League (Q2135357) (← links)
• Oracally efficient estimation for dense functional data with holiday effects (Q2177735) (← links)
• Asymptotic properties of penalized splines for functional data (Q2203625) (← links)
• Simultaneous confidence band for stationary covariance function of dense functional data (Q2293548) (← links)
• Fast and efficient nested simulation for large variable annuity portfolios: a surrogate modeling approach (Q2306093) (← links)
• A modification of Silverman's method for smoothed functional principal components analysis (Q2320911) (← links)
• Covariate adjusted functional principal components analysis for longitudinal data (Q2380101) (← links)
• Cramér-Karhunen-Loève representation and harmonic principal component analysis of functional time series (Q2447653) (← links)
• Functional principal component regression with noisy covariate (Q2464264) (← links)
• Properties of principal component methods for functional and longitudinal data analysis (Q2500460) (← links)
• Assessing extrema of empirical principal component functions (Q2500461) (← links)
• Fast covariance estimation for high-dimensional functional data (Q2631375) (← links)
• Simultaneous inference for the mean function based on dense functional data (Q2892931) (← links)
• Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo (Q4932236) (← links)
• Eigen-Adjusted Functional Principal Component Analysis (Q5057248) (← links)
• (Q5066201) (← links)
• Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator (Q6055876) (← links)
• New perspectives in smoothing: minimax estimation of the mean and principal components of discretized functional data (Q6168063) (← links)
• Estimation of the mean function of functional data via deep neural networks (Q6541806) (← links)
• Oracle-efficient estimation and global inferences for variance function of functional data (Q6616200) (← links)
• Instrumental variable approach to estimating the scalar-on-function regression model with measurement error with application to energy expenditure assessment in childhood obesity (Q6625165) (← links)
• Functional data analysis using deep neural networks (Q6642756) (← links)