Pages that link to "Item:Q2874943"
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The following pages link to Variance estimation in high-dimensional linear models (Q2874943):
Displaying 26 items.
- Estimating the error variance in a high-dimensional linear model (Q152045) (← links)
- Global testing against sparse alternatives in time-frequency analysis (Q309712) (← links)
- Adaptive estimation of high-dimensional signal-to-noise ratios (Q1750099) (← links)
- Volume and variance in the linear statistical model (Q1855427) (← links)
- Optimal estimation of variance in nonparametric regression with random design (Q1996785) (← links)
- Greedy variance estimation for the LASSO (Q2019914) (← links)
- Optimal sparsity testing in linear regression model (Q2040034) (← links)
- Inference without compatibility: using exponential weighting for inference on a parameter of a linear model (Q2040072) (← links)
- In defense of the indefensible: a very naïve approach to high-dimensional inference (Q2075709) (← links)
- Two-sample testing of high-dimensional linear regression coefficients via complementary sketching (Q2105203) (← links)
- Improved estimators for semi-supervised high-dimensional regression model (Q2106769) (← links)
- Estimation of linear projections of non-sparse coefficients in high-dimensional regression (Q2286364) (← links)
- A simple, consistent estimator of SNP heritability from genome-wide association studies (Q2291534) (← links)
- Most powerful test against a sequence of high dimensional local alternatives (Q2697980) (← links)
- (Q4488846) (← links)
- (Q4720600) (← links)
- WONDER: Weighted one-shot distributed ridge regression in high dimensions (Q4969115) (← links)
- A Tuning-free Robust and Efficient Approach to High-dimensional Regression (Q5146020) (← links)
- Principal varying coefficient estimator for high-dimensional models (Q5205848) (← links)
- Prediction risk for the horseshoe regression (Q5381133) (← links)
- Ridge regression and asymptotic minimax estimation over spheres of growing dimension (Q5963493) (← links)
- Variance estimation in high-dimensional linear regression via adaptive elastic-net (Q6065189) (← links)
- Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares (Q6110712) (← links)
- Asymptotic bias of the \(\ell_2\)-regularized error variance estimator (Q6548541) (← links)
- Noise covariance estimation in multi-task high-dimensional linear models (Q6565298) (← links)
- A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting (Q6616197) (← links)
