Pages that link to "Item:Q997371"

The following pages link to Methodology and convergence rates for functional linear regression (Q997371):

Displaying 50 items.

• Analysis of multivariate non-Gaussian functional data: a semiparametric latent process approach (Q2078559) (← links)
• Functional linear regression with truncated signatures (Q2079598) (← links)
• Subgroup analysis for high-dimensional functional regression (Q2079631) (← links)
• Estimation for partial functional partially linear additive model (Q2084069) (← links)
• Dimension independent excess risk by stochastic gradient descent (Q2084455) (← links)
• Functional linear regression with Huber loss (Q2099272) (← links)
• Prediction in functional regression with discretely observed and noisy covariates (Q2101386) (← links)
• Robust functional principal component analysis based on a new regression framework (Q2102971) (← links)
• Statistical inference for the slope parameter in functional linear regression (Q2106789) (← links)
• Statistical inference in the partial functional linear expectile regression model (Q2106846) (← links)
• On consistency and sparsity for high-dimensional functional time series with application to autoregressions (Q2108488) (← links)
• Robust penalized estimators for functional linear regression (Q2111064) (← links)
• Relative perturbation bounds with applications to empirical covariance operators (Q2111217) (← links)
• Robust estimation for varying coefficient partially functional linear regression models based on exponential squared loss function (Q2111807) (← links)
• Robust estimation for a general functional single index model via quantile regression (Q2111951) (← links)
• Minimax rate for optimal transport regression between distributions (Q2112279) (← links)
• Estimation in partially observed functional linear quantile regression (Q2121208) (← links)
• Variable selection for functional linear models with strong heredity constraint (Q2121450) (← links)
• Online gradient descent algorithms for functional data learning (Q2121498) (← links)
• Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach (Q2131156) (← links)
• Robust estimation with a modified Huber's loss for partial functional linear models based on splines (Q2131963) (← links)
• Testing linearity in partial functional linear quantile regression model based on regression rank scores (Q2131980) (← links)
• Rank method for partial functional linear regression models (Q2131991) (← links)
• Testing independence and goodness-of-fit jointly for functional linear models (Q2131993) (← links)
• Robust estimation for partial functional linear regression models based on FPCA and weighted composite quantile regression (Q2134998) (← links)
• In-game win probabilities for the National Rugby League (Q2135357) (← links)
• Stochastic functional linear models and Malliavin calculus (Q2135880) (← links)
• Finite sample theory for high-dimensional functional/scalar time series with applications (Q2136615) (← links)
• Functional principal subspace sampling for large scale functional data analysis (Q2137809) (← links)
• Lower bounds for invariant statistical models with applications to principal component analysis (Q2157446) (← links)
• Predictive functional linear models with diverging number of semiparametric single-index interactions (Q2171997) (← links)
• Estimation and variable selection for partial functional linear regression (Q2176333) (← links)
• Estimation and inference in partially functional linear regression with multiple functional covariates (Q2189097) (← links)
• Testing for lack-of-fit in functional regression models against general alternatives (Q2189112) (← links)
• Checking the adequacy of functional linear quantile regression model (Q2189121) (← links)
• Partially functional linear regression in reproducing kernel Hilbert spaces (Q2189605) (← links)
• Functional linear regression model with randomly censored data: predicting conversion time to Alzheimer 's disease (Q2189620) (← links)
• Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems (Q2192321) (← links)
• Linear regression estimation methods for inferring standard values of snow load in small sample situations (Q2193339) (← links)
• Testing for the significance of functional covariates (Q2196131) (← links)
• On the optimal reconstruction of partially observed functional data (Q2196241) (← links)
• Nonparametric estimation of the ability density in the mixed-effect Rasch model (Q2199700) (← links)
• Robust estimation for partial functional linear regression model based on modal regression (Q2200112) (← links)
• Nonlinear functional canonical correlation analysis via distance covariance (Q2201549) (← links)
• Statistical inference for the functional quadratic quantile regression model (Q2202044) (← links)
• Rank-based test for partial functional linear regression models (Q2220433) (← links)
• Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions (Q2228248) (← links)
• Some asymptotic properties for functional canonical correlation analysis (Q2250692) (← links)
• Partial functional linear regression (Q2272093) (← links)
• Robust functional regression based on principal components (Q2274953) (← links)