Pages that link to "Item:Q3438353"

The following pages link to Oracle inequalities for multi-fold cross validation (Q3438353):

Displaying 40 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)
• Model selection in reinforcement learning (Q415618) (← links)
• Cross-validation for selecting a model selection procedure (Q494374) (← links)
• A survey of cross-validation procedures for model selection (Q975579) (← links)
• Oracle inequalities for cross-validation type procedures (Q1950881) (← links)
• General oracle inequalities for model selection (Q1951973) (← links)
• Adaptive kernel methods using the balancing principle (Q1959089) (← links)
• Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap (Q2001893) (← links)
• Kernel machines for current status data (Q2051247) (← links)
• Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
• Consistency of cross validation for comparing regression procedures (Q2473071) (← links)
• Tilting methods for assessing the influence of components in a classifier (Q2920282) (← links)
• Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks (Q3053683) (← links)
• Global sensitivity analysis for repeated measures studies with informative drop-out: A semi-parametric approach (Q3119826) (← links)
• The cross-validated adaptive epsilon-net estimator (Q3438354) (← links)
• Consistency of empirical Bayes and kernel flow for hierarchical parameter estimation (Q4956916) (← links)
• Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods (Q5034151) (← links)
• (Q5053280) (← links)
• An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression (Q5220378) (← links)
• Estimating function based cross-validation (Q5310572) (← links)
• Robust Q-Learning (Q5857152) (← links)
• Targeted estimation of state occupation probabilities for the non‐Markov illness‐death model (Q6049807) (← links)
• Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions (Q6094089) (← links)
• Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis (Q6205042) (← links)
• Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation (Q6589248) (← links)
• One-step estimation of differentiable Hilbert-valued parameters (Q6621535) (← links)
• Efficient and multiply robust risk estimation under general forms of dataset shift (Q6621547) (← links)
• Comparing predictive abilities of longitudinal child growth models (Q6625139) (← links)
• SpiderLearner: an ensemble approach to Gaussian graphical model estimation (Q6625751) (← links)
• Statistical inference for data-adaptive doubly robust estimators with survival outcomes (Q6627164) (← links)
• Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: an application of super learning to risk prediction when the outcome is rare (Q6627582) (← 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)
• Optimal spatial prediction using ensemble machine learning (Q6632730) (← links)
• One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels (Q6632738) (← links)
• Cross-validation on extreme regions (Q6635935) (← links)
• Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator (Q6636047) (← links)
• Super learner for survival data prediction (Q6636051) (← 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)