Pages that link to "Item:Q1626624"
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The following pages link to Asymptotics for high dimensional regression \(M\)-estimates: fixed design results (Q1626624):
Displaying 12 items.
- Asymptotic properties on high-dimensional multivariate regression M-estimation (Q2022560) (← links)
- High-dimensional linear models: a random matrix perspective (Q2051014) (← links)
- A Bayesian-motivated test for high-dimensional linear regression models with fixed design matrix (Q2065308) (← links)
- Some perspectives on inference in high dimensions (Q2075798) (← links)
- High-dimensional robust approximated \(M\)-estimators for mean regression with asymmetric data (Q2079618) (← links)
- Detangling robustness in high dimensions: composite versus model-averaged estimation (Q2192312) (← links)
- On rank estimators in increasing dimensions (Q2294449) (← links)
- Concentration Inequalities for Statistical Inference (Q3380883) (← links)
- Estimation of High Dimensional Mean Regression in the Absence of Symmetry and Light Tail Assumptions (Q5378163) (← links)
- Automatic bias correction for testing in high‐dimensional linear models (Q6068053) (← links)
- Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares (Q6110712) (← links)
- Debiasing convex regularized estimators and interval estimation in linear models (Q6117025) (← links)
