Pages that link to "Item:Q1582634"
From MaRDI portal
The following pages link to Combining different procedures for adaptive regression (Q1582634):
Displaying 45 items.
- Estimator selection in the Gaussian setting (Q141397) (← links)
- An asymptotically optimal kernel combined classifier (Q334008) (← links)
- Ordered smoothers with exponential weighting (Q372129) (← links)
- Concentration inequalities for the exponential weighting method (Q461822) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- Parametric or nonparametric? A parametricness index for model selection (Q651025) (← links)
- Generalized mirror averaging and \(D\)-convex aggregation (Q734528) (← links)
- Iterative bias reduction: a comparative study (Q746347) (← links)
- Developing new portfolio strategies by aggregation (Q827154) (← links)
- Sparse recovery via nonconvex regularized \(M\)-estimators over \(\ell_q\)-balls (Q830557) (← links)
- Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes (Q892242) (← links)
- A simple method for combining estimates to improve the overall error rates in classification (Q906142) (← links)
- Easy recipes for cooperative smoothing (Q983213) (← links)
- Mixing least-squares estimators when the variance is unknown (Q1002537) (← links)
- Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity (Q1009266) (← links)
- Nonparametric regression with correlated errors. (Q1431197) (← links)
- Minimax-rate adaptive nonparametric regression with unknown correlations of errors (Q1729945) (← links)
- Model selection for Gaussian regression with random design (Q1763101) (← links)
- On the exponentially weighted aggregate with the Laplace prior (Q1800807) (← links)
- Sharp oracle inequalities for aggregation of affine estimators (Q1940775) (← links)
- On the optimality of the aggregate with exponential weights for low temperatures (Q1952438) (← links)
- On adaptive combination of regression estimators (Q1974118) (← links)
- Distribution-free robust linear regression (Q2113267) (← links)
- Exponential weights in multivariate regression and a low-rankness favoring prior (Q2179638) (← links)
- Aggregation of estimators and stochastic optimization (Q2197367) (← links)
- A general framework for Bayes structured linear models (Q2215762) (← links)
- Aggregation using input-output trade-off (Q2317264) (← links)
- Distribution theory of the least squares averaging estimator (Q2346023) (← links)
- Fast learning rates in statistical inference through aggregation (Q2388975) (← links)
- Empirical risk minimization is optimal for the convex aggregation problem (Q2435238) (← links)
- Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
- Optimal learning with \textit{Q}-aggregation (Q2448729) (← links)
- Aggregation for Gaussian regression (Q2456016) (← links)
- Simultaneous adaptation to the margin and to complexity in classification (Q2456017) (← links)
- Model selection for regression on a random design (Q3150221) (← links)
- KFC: A clusterwise supervised learning procedure based on the aggregation of distances (Q3389603) (← links)
- Smoothness adaptive average derivative estimation (Q3563651) (← links)
- Adaptive Regression by Mixing (Q4419445) (← links)
- INFERENCE AFTER MODEL AVERAGING IN LINEAR REGRESSION MODELS (Q4967794) (← links)
- Aggregating classifiers via Rademacher–Walsh polynomials (Q5220783) (← links)
- Jackknife model averaging for high‐dimensional quantile regression (Q6056143) (← links)
- Partial linear model averaging prediction for longitudinal data (Q6131001) (← links)
- Model averaging prediction by \(K\)-fold cross-validation (Q6163281) (← links)
- Simple proof of the risk bound for denoising by exponential weights for asymmetric noise distributions (Q6193809) (← links)
- Mean-variance efficient large portfolios: a simple machine learning heuristic technique based on the two-fund separation theorem (Q6547041) (← links)
