Pages that link to "Item:Q3548098"
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The following pages link to Information Theory and Mixing Least-Squares Regressions (Q3548098):
Displaying 50 items.
- Estimator selection in the Gaussian setting (Q141397) (← links)
- Choice of weights in FMA estimators under general parametric models (Q362530) (← links)
- Ordered smoothers with exponential weighting (Q372129) (← links)
- Model averaging procedure for partially linear single-index models (Q393639) (← links)
- Sparse regression learning by aggregation and Langevin Monte-Carlo (Q439987) (← links)
- Mirror averaging with sparsity priors (Q442083) (← links)
- Concentration inequalities for the exponential weighting method (Q461822) (← links)
- Focused vector information criterion model selection and model averaging regression with missing response (Q464389) (← links)
- Frequentist model averaging estimation: a review (Q473054) (← links)
- Least squares model averaging by Mallows criterion (Q530944) (← links)
- Exponential screening and optimal rates of sparse estimation (Q548534) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- Generalized mirror averaging and \(D\)-convex aggregation (Q734528) (← links)
- Model averaging assisted sufficient dimension reduction (Q830525) (← links)
- Toward optimal model averaging in regression models with time series errors (Q888324) (← links)
- Bayesian linear regression with sparse priors (Q888501) (← links)
- Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes (Q892242) (← links)
- Learning by mirror averaging (Q955138) (← links)
- Mixing least-squares estimators when the variance is unknown (Q1002537) (← links)
- Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity (Q1009266) (← links)
- Solution of linear ill-posed problems by model selection and aggregation (Q1639200) (← links)
- PAC-Bayesian high dimensional bipartite ranking (Q1642737) (← links)
- An oracle inequality for quasi-Bayesian nonnegative matrix factorization (Q1678528) (← links)
- Spatial weights matrix selection and model averaging for spatial autoregressive models (Q1706440) (← links)
- Bayesian fractional posteriors (Q1731743) (← links)
- Optimal bounds for aggregation of affine estimators (Q1747732) (← links)
- On the exponentially weighted aggregate with the Laplace prior (Q1800807) (← links)
- Exponential weighting and oracle inequalities for projection estimates (Q1928229) (← links)
- Non-local methods with shape-adaptive patches (NLM-SAP) (Q1932941) (← links)
- Sharp oracle inequalities for aggregation of affine estimators (Q1940775) (← links)
- Model averaging for varying-coefficient partially linear measurement error models (Q1950848) (← links)
- Optimal model selection in heteroscedastic regression using piecewise polynomial functions (Q1951154) (← links)
- PAC-Bayesian bounds for sparse regression estimation with exponential weights (Q1952177) (← links)
- On the optimality of the aggregate with exponential weights for low temperatures (Q1952438) (← links)
- Model averaging estimator in ridge regression and its large sample properties (Q2029204) (← links)
- Minimax predictive density for sparse count data (Q2040060) (← links)
- Inference without compatibility: using exponential weighting for inference on a parameter of a linear model (Q2040072) (← links)
- A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning (Q2044333) (← links)
- Least squares model averaging based on generalized cross validation (Q2046232) (← links)
- Second-order Stein: SURE for SURE and other applications in high-dimensional inference (Q2054467) (← links)
- Model averaging for interval-valued data (Q2140226) (← links)
- Mallows model averaging with effective model size in fragmentary data prediction (Q2143019) (← links)
- Semiparametric model averaging prediction for dichotomous response (Q2155291) (← links)
- On improvability of model selection by model averaging (Q2155292) (← links)
- Exponential weights in multivariate regression and a low-rankness favoring prior (Q2179638) (← links)
- A general framework for Bayes structured linear models (Q2215762) (← links)
- Sharp oracle inequalities for low-complexity priors (Q2304249) (← links)
- Localized Gaussian width of \(M\)-convex hulls with applications to Lasso and convex aggregation (Q2325349) (← links)
- Distribution theory of the least squares averaging estimator (Q2346023) (← links)
- Adaptive estimation over anisotropic functional classes via oracle approach (Q2352739) (← links)
