Pages that link to "Item:Q1970860"

The following pages link to Robust weights and designs for biased regression models: Least squares and generalized \(M\)-estimation (Q1970860):

Displaying 21 items.

• Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search (Q553261) (← links)
• Designs for weighted least squares regression, with estimated weights (Q746287) (← links)
• Model-robust and model-sensitive designs (Q957193) (← links)
• A-minimax and D-minimax robust optimal designs for approximately linear Haar-wavelet models (Q959383) (← links)
• Semi-supervised speaker identification under covariate shift (Q985576) (← links)
• Active learning algorithm using the maximum weighted log-likelihood estimator (Q1400127) (← links)
• Dimensionality reduction for density ratio estimation in high-dimensional spaces (Q1784536) (← links)
• Efficient exploration through active learning for value function approximation in reinforcement learning (Q1784573) (← links)
• A batch ensemble approach to active learning with model selection (Q1932092) (← links)
• Improving importance estimation in pool-based batch active learning for approximate linear regression (Q1942721) (← links)
• Pool-based active learning in approximate linear regression (Q1959485) (← links)
• Jackknifing, weighting, diagnostics and variance estimation in generalized \(M\)-estimation (Q1970820) (← links)
• Restricted minimax robust designs for misspecified regression models (Q2738925) (← links)
• On Prior Selection and Covariate Shift of β-Bayesian Prediction Under α-Divergence Risk (Q3585267) (← links)
• (Q4514057) (← links)
• Active Learning with Multiple Localized Regression Models (Q4599320) (← links)
• Minimax weights for generalised M-estimation in biased regression models (Q4801843) (← links)
• Risk-Adapted Optimal Experimental Design (Q5097842) (← links)
• Robust adaptive filtering based on M-estimation-based minimum error entropy criterion (Q6193460) (← links)
• Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks (Q6197209) (← links)
• Learning under nonstationarity: covariate shift and class-balance change (Q6607922) (← links)