Pages that link to "Item:Q3438354"
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The following pages link to The cross-validated adaptive epsilon-net estimator (Q3438354):
Displaying 33 items.
- Discussion of ``Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data'', by Jessica Young, Miguel Hernán, and James Robins (Q306795) (← links)
- Tree-based censored regression with applications in insurance (Q315407) (← links)
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment (Q713643) (← links)
- Empirical risk minimization in inverse problems (Q847644) (← links)
- A simple method for combining estimates to improve the overall error rates in classification (Q906142) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- Estimator selection and combination in scalar-on-function regression (Q1615246) (← links)
- Tree-based multivariate regression and density estimation with right-censored data (Q1876993) (← links)
- Aggregated hold out for sparse linear regression with a robust loss function (Q2136632) (← links)
- Improving multilabel classification via heterogeneous ensemble methods (Q2326859) (← links)
- A cross-validation deletion-substitution-addition model selection algorithm: application to marginal structural models (Q2445763) (← links)
- Consistency of cross validation for comparing regression procedures (Q2473071) (← links)
- Cross-validated bagged learning (Q2474238) (← links)
- An Application of Targeted Maximum Likelihood Estimation to the Meta‐Analysis of Safety Data (Q4919598) (← links)
- Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation (Q4956916) (← links)
- Using Machine Learning Methods to Support Causal Inference in Econometrics (Q5015913) (← links)
- Comparing different propensity score estimation methods for estimating the marginal causal effect through standardization to propensity scores (Q5084764) (← links)
- A new data adaptive elastic net predictive model using hybridized smoothed covariance estimators with information complexity (Q5107377) (← links)
- Estimating function based cross-validation (Q5310572) (← links)
- Orthogonal statistical learning (Q6136574) (← links)
- Causal survival analysis under competing risks using longitudinal modified treatment policies (Q6205052) (← links)
- Machine collaboration (Q6548943) (← links)
- Optimizing dynamic predictions from joint models using super learning (Q6618415) (← links)
- Optimal ensemble construction for multistudy prediction with applications to mortality estimation (Q6618468) (← links)
- Targeted learning with daily EHR data (Q6624675) (← links)
- Statistical inference for data-adaptive doubly robust estimators with survival outcomes (Q6627164) (← links)
- Targeted estimation of nuisance parameters to obtain valid statistical inference (Q6632692) (← links)
- A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators (Q6632727) (← links)
- One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels (Q6632738) (← links)
- A machine learning-based approach for estimating and testing associations with multivariate outcomes (Q6636001) (← links)
- Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator (Q6636047) (← links)
- A generally efficient targeted minimum loss based estimator based on the highly adaptive Lasso (Q6636149) (← links)
- Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lasso (Q6636224) (← links)
