The following pages link to (Q2934051):
Displaying 50 items.
- Predictive inference with the jackknife+ (Q100525) (← links)
- Exploratory subgroup analysis in clinical trials by model selection (Q112662) (← links)
- On the asymptotics of random forests (Q268730) (← links)
- Estimating the algorithmic variance of randomized ensembles via the bootstrap (Q666594) (← links)
- Generalized random forests (Q666599) (← links)
- Efficient Venn predictors using random forests (Q669306) (← links)
- Standard errors for bagged and random forest estimators (Q961193) (← links)
- Bootstrap bias corrections for ensemble methods (Q1702284) (← links)
- Bayesian additive regression trees using Bayesian model averaging (Q1704023) (← links)
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion) (Q2057337) (← links)
- Uncertainty quantification for honest regression trees (Q2072416) (← links)
- Towards convergence rate analysis of random forests for classification (Q2093392) (← links)
- Robust prediction interval estimation for Gaussian processes by cross-validation method (Q2101380) (← links)
- Asymptotic properties of high-dimensional random forests (Q2112821) (← links)
- Uncertainty quantification for data-driven turbulence modelling with Mondrian forests (Q2124898) (← links)
- Rates of convergence for random forests via generalized U-statistics (Q2136608) (← links)
- BART with targeted smoothing: an analysis of patient-specific stillbirth risk (Q2179940) (← links)
- Bootstrapping and sample splitting for high-dimensional, assumption-lean inference (Q2284380) (← links)
- Arbitrage of forecasting experts (Q2425238) (← links)
- Consistency of random forests (Q2515494) (← links)
- A random forest guided tour (Q2629364) (← links)
- Quantifying uncertainty in random forests via confidence intervals and hypothesis tests (Q2810797) (← links)
- Debiased Inference on Treatment Effect in a High-Dimensional Model (Q3304865) (← links)
- Random forests, decision trees, and categorical predictors: the ``absent levels'' problem (Q4558194) (← links)
- Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection (Q4962428) (← links)
- (Q4998872) (← links)
- (Q4998957) (← links)
- Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety (Q5029246) (← links)
- Improving random forest algorithm by Lasso method (Q5033957) (← links)
- Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (Q5037548) (← links)
- (Q5053328) (← links)
- Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework (Q5055266) (← links)
- Visually Communicating and Teaching Intuition for Influence Functions (Q5056963) (← links)
- Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate (Q5066399) (← links)
- Local Linear Forests (Q5066400) (← links)
- Jackknife method for the location of gross errors in weighted total least squares (Q5082944) (← links)
- Consistency of survival tree and forest models: splitting bias and correction (Q5089444) (← links)
- Machine learning and design of experiments with an application to product innovation in the chemical industry (Q5093046) (← links)
- Prediction, Estimation, and Attribution (Q5130603) (← links)
- (Q5149226) (← links)
- (Q5214250) (← links)
- Random Forest Prediction Intervals (Q5869307) (← links)
- Comments on: ``A random forest guided tour'' (Q5972098) (← links)
- Prediction, Estimation, and Attribution (Q6068035) (← links)
- Design of experiments and machine learning with application to industrial experiments (Q6080700) (← links)
- Consistent and unbiased variable selection under indepedent features using random forest permutation importance (Q6103229) (← links)
- Is there a role for statistics in artificial intelligence? (Q6103792) (← links)
- A comparison of resampling and recursive partitioning methods in random forest for estimating the asymptotic variance using the infinitesimal jackknife (Q6540532) (← links)
- Forecasting hurricane-related power outages via locally optimized random forests (Q6541753) (← links)
- On variance estimation of random forests with Infinite-order U-statistics (Q6546441) (← links)
