Pages that link to "Item:Q65651"

The following pages link to BART: Bayesian additive regression trees (Q65651):

Displaying 50 items.

• Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models (Q4904729) (← links)
• Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection (Q4962428) (← links)
• Model guided adaptive design and analysis in computer experiment (Q4969853) (← links)
• (Q4998908) (← links)
• (Q4998918) (← links)
• Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models (Q4999153) (← links)
• Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis (Q5037050) (← links)
• Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (Q5037548) (← links)
• Bayesian additive regression trees in spatial data analysis with sparse observations (Q5040537) (← links)
• (Q5054610) (← links)
• Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications (Q5056992) (← links)
• Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors (Q5057082) (← links)
• Linear Aggregation in Tree-Based Estimators (Q5057103) (← links)
• Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation (Q5057255) (← links)
• Local Linear Forests (Q5066400) (← links)
• Nonlinear Variable Selection via Deep Neural Networks (Q5066407) (← links)
• Model Interpretation Through Lower-Dimensional Posterior Summarization (Q5066426) (← links)
• An improved comorbidity summary score for measuring disease burden and predicting mortality with applications to two national cohorts (Q5076926) (← links)
• Clustering and Prediction With Variable Dimension Covariates (Q5084445) (← links)
• A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit (Q5084644) (← links)
• BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes (Q5088020) (← links)
• Variable selection via a multi-stage strategy (Q5130191) (← links)
• Climate, agriculture, and hunger: statistical prediction of undernourishment using nonlinear regression and data-mining techniques (Q5130351) (← links)
• A Bayesian non-parametric modeling to estimate student response to ICT investment (Q5138194) (← links)
• Deep learning for ranking response surfaces with applications to optimal stopping problems (Q5139253) (← links)
• Flexible Sensitivity Analysis for Observational Studies Without Observable Implications (Q5146026) (← links)
• (Q5148993) (← links)
• Matching on‐the‐fly: Sequential allocation with higher power and efficiency (Q5170207) (← links)
• Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines (Q5208043) (← links)
• (Q5214250) (← links)
• Discussion of PENCOMP (Q5229884) (← links)
• Prediction with missing data via Bayesian Additive Regression Trees (Q5256379) (← links)
• Sequential Design for Ranking Response Surfaces (Q5269860) (← links)
• A subgroup cluster‐based Bayesian adaptive design for precision medicine (Q5283291) (← links)
• Spline-Based Emulators for Radiative Shock Experiments With Measurement Error (Q5327264) (← links)
• Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy (Q5406349) (← links)
• Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes (Q5857116) (← links)
• Landmark-Warped Emulators for Models with Misaligned Functional Response (Q5862899) (← links)
• Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations (Q5867468) (← links)
• Random Forest Prediction Intervals (Q5869307) (← links)
• Comment (Q5877637) (← links)
• Stochastic boosting algorithms (Q5917853) (← links)
• Bayesian computation: a summary of the current state, and samples backwards and forwards (Q5963784) (← links)
• Stochastic boosting algorithms (Q5970612) (← links)
• Comments on: ``A random forest guided tour'' (Q5972096) (← links)
• Comments on: ``A random forest guided tour'' (Q5972098) (← links)
• Operator-induced structural variable selection for identifying materials genes (Q5980057) (← links)
• Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning (Q6044620) (← links)
• Estimating a causal exposure response function with a continuous error-prone exposure: a study of fine particulate matter and all-cause mortality (Q6045975) (← links)
• A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation (Q6047796) (← links)