Pages that link to "Item:Q2456016"
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The following pages link to Aggregation for Gaussian regression (Q2456016):
Displaying 19 items.
- Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series (Q5104522) (← links)
- (Q5159402) (← links)
- Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet (Q5228592) (← links)
- Prediction of time series by statistical learning: general losses and fast rates (Q5417591) (← links)
- Aggregation of regularized solutions from multiple observation models (Q5500812) (← links)
- Quasi-likelihood and/or robust estimation in high dimensions (Q5965304) (← links)
- High-dimensional regression with unknown variance (Q5965306) (← links)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
- Sparse estimation by exponential weighting (Q5965309) (← links)
- Sample average approximation with heavier tails II: localization in stochastic convex optimization and persistence results for the Lasso (Q6038638) (← links)
- A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates (Q6067162) (← links)
- Model aggregation for doubly divided data with large size and large dimension (Q6104430) (← links)
- Simple proof of the risk bound for denoising by exponential weights for asymmetric noise distributions (Q6193809) (← links)
- Theory of adaptive estimation (Q6200220) (← links)
- Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection (Q6595785) (← links)
- Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables (Q6617817) (← links)
- Model Mixing Using Bayesian Additive Regression Trees (Q6631195) (← links)
- Network Estimation by Mixing: Adaptivity and More (Q6631716) (← links)
- Wavelet estimation for the nonparametric additive model in random design and long-memory dependent errors (Q6669474) (← links)
