Pages that link to "Item:Q1687114"

The following pages link to Minimax estimation of a functional on a structured high-dimensional model (Q1687114):

Displaying 27 items.

• The Hardness of Conditional Independence Testing and the Generalised Covariance Measure (Q118262) (← links)
• Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data (Q133315) (← links)
• On estimation of \(L_r\)-norms in Gaussian white noise models (Q783806) (← links)
• Optimal rates of entropy estimation over Lipschitz balls (Q1996767) (← links)
• On efficiency of the plug-in principle for estimating smooth integrated functionals of a nonincreasing density (Q2008616) (← links)
• Stein 1956: Efficient nonparametric testing and estimation (Q2054465) (← links)
• Augmented minimax linear estimation (Q2073703) (← links)
• A generalized theory of separable effects in competing event settings (Q2074081) (← links)
• Semiparametric Bayesian causal inference (Q2215769) (← links)
• On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning (Q2218090) (← links)
• Discussion of ``On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning'' (Q2218091) (← links)
• Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning (Q2218092) (← links)
• Non-separable models with high-dimensional data (Q2330742) (← links)
• Debiased Inference on Treatment Effect in a High-Dimensional Model (Q3304865) (← links)
• (Q4633064) (← links)
• (Q4999030) (← links)
• (Q5053325) (← links)
• Visually Communicating and Teaching Intuition for Influence Functions (Q5056963) (← links)
• (Q5259938) (← links)
• Towards optimal doubly robust estimation of heterogeneous causal effects (Q5983157) (← links)
• Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding (Q6107211) (← links)
• Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators (Q6199660) (← links)
• Semiparametric Proximal Causal Inference (Q6567929) (← links)
• Estimation of Conditional Average Treatment Effects With High-Dimensional Data (Q6620854) (← links)
• One-step estimation of differentiable Hilbert-valued parameters (Q6621535) (← links)
• Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning (Q6631683) (← links)
• Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning (Q6651378) (← links)