Pages that link to "Item:Q900804"

The following pages link to Non-asymptotic adaptive prediction in functional linear models (Q900804):

Displaying 19 items.

• Adaptive estimation in the functional nonparametric regression model (Q268736) (← links)
• Adaptive and minimax estimation of the cumulative distribution function given a functional covariate (Q470511) (← links)
• Adaptive functional linear regression (Q741806) (← links)
• Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety (Q1695538) (← links)
• Adaptive prediction and estimation in linear regression with infinitely many parameters. (Q1848918) (← links)
• Weighted least squares methods for prediction in the functional data linear model (Q1952006) (← links)
• Functional linear regression with truncated signatures (Q2079598) (← links)
• Minimax rate for optimal transport regression between distributions (Q2112279) (← links)
• Robust exponential squared loss-based estimation in semi-functional linear regression models (Q2418053) (← links)
• A one-sample test for normality with kernel methods (Q2419660) (← links)
• Adaptive functional linear regression via functional principal component analysis and block thresholding (Q4558594) (← links)
• Functional prediction through averaging estimated functional linear regression models (Q4562741) (← links)
• Ordering and Selecting Components in Multivariate or Functional Data Linear Prediction (Q4632623) (← links)
• Minimax and Adaptive Prediction for Functional Linear Regression (Q4648566) (← links)
• (Q4998979) (← links)
• A note on the prediction error of principal component regression in high dimensions (Q6050280) (← links)
• Lasso in Infinite dimension: application to variable selection in functional multivariate linear regression (Q6144429) (← links)
• New perspectives in smoothing: minimax estimation of the mean and principal components of discretized functional data (Q6168063) (← links)
• Functional mixtures-of-experts (Q6547772) (← links)