Pages that link to "Item:Q620554"

The following pages link to A reproducing kernel Hilbert space approach to functional linear regression (Q620554):

Displaying 50 items.

• Multivariate functional linear regression and prediction (Q268779) (← links)
• Probability-enhanced effective dimension reduction for classifying sparse functional data (Q285831) (← links)
• Optimal estimation for the functional Cox model (Q309740) (← links)
• Minimax adaptive tests for the functional linear model (Q355113) (← links)
• Functional linear regression after spline transformation (Q425658) (← links)
• A note on generalized functional linear model and its application (Q447625) (← links)
• Linear prediction in functional data analysis (Q454858) (← links)
• Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
• \(L_1\)-penalization in functional linear regression with subgaussian design (Q487731) (← links)
• Minimax prediction for functional linear regression with functional responses in reproducing kernel Hilbert spaces (Q495394) (← links)
• Smooth predictive model fitting in regression (Q512005) (← links)
• Dynamic single-index model for functional data (Q525915) (← links)
• On prediction rate in partial functional linear regression (Q642226) (← links)
• Posterior convergence for Bayesian functional linear regression (Q739583) (← links)
• Estimation in functional linear quantile regression (Q741818) (← links)
• Sparse estimation in functional linear regression (Q764470) (← links)
• Single-index partially functional linear regression model (Q779689) (← links)
• Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces (Q826973) (← links)
• Regression models for functional data by reproducing kernel Hilbert spaces methods (Q866626) (← links)
• Sieve M-estimator for a semi-functional linear model (Q904655) (← links)
• Methodology and convergence rates for functional linear regression (Q997371) (← links)
• Estimating functional linear mixed-effects regression models (Q1658514) (← links)
• PCA-based estimation for functional linear regression with functional responses (Q1686150) (← links)
• Bayesian classification of multiclass functional data (Q1711597) (← links)
• An RKHS model for variable selection in functional linear regression (Q1733266) (← links)
• Estimation and testing for partially functional linear errors-in-variables models (Q1733291) (← links)
• Reduced rank modeling for functional regression with functional responses (Q1755122) (← links)
• Bayesian functional linear regression with sparse step functions (Q1757666) (← links)
• Analysis of regularized least squares for functional linear regression model (Q1791683) (← links)
• System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
• The theory and application of penalized methods or reproducing kernel Hilbert spaces made easy (Q1951653) (← links)
• Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach (Q1952256) (← links)
• Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces (Q1979424) (← links)
• Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition (Q2036304) (← links)
• Adaptive function-on-scalar regression with a smoothing elastic net (Q2048111) (← links)
• A new RKHS-based global testing for functional linear model (Q2070584) (← links)
• Quantile trace regression via nuclear norm regularization (Q2070597) (← links)
• Convergence rates of support vector machines regression for functional data (Q2074933) (← links)
• Smoothly adaptively centered ridge estimator (Q2078549) (← links)
• Bayesian frequentist bounds for machine learning and system identification (Q2097759) (← links)
• Functional linear regression with Huber loss (Q2099272) (← links)
• Prediction in functional regression with discretely observed and noisy covariates (Q2101386) (← links)
• A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids (Q2105198) (← 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)
• Robust penalized estimators for functional linear regression (Q2111064) (← links)
• Robust estimation for a general functional single index model via quantile regression (Q2111951) (← links)
• Estimation in partially observed functional linear quantile regression (Q2121208) (← 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)