Pages that link to "Item:Q65651"
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The following pages link to BART: Bayesian additive regression trees (Q65651):
Displaying 50 items.
- Model-guided adaptive sampling for Bayesian model selection (Q2131962) (← links)
- Inference in Bayesian additive vector autoregressive tree models (Q2135338) (← links)
- Spatial CART classification trees (Q2135924) (← links)
- Rule-based Bayesian regression (Q2152549) (← links)
- Robust Bayesian inference for big data: combining sensor-based records with traditional survey data (Q2154206) (← links)
- Augmented direct learning for conditional average treatment effect estimation with double robustness (Q2154959) (← links)
- Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach (Q2170451) (← links)
- BART with targeted smoothing: an analysis of patient-specific stillbirth risk (Q2179940) (← links)
- Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors (Q2179967) (← links)
- Data-driven modelling of the Reynolds stress tensor using random forests with invariance (Q2180004) (← links)
- Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery (Q2196227) (← links)
- Posterior concentration for Bayesian regression trees and forests (Q2215727) (← links)
- Minimax optimal rates for Mondrian trees and forests (Q2215734) (← links)
- A decision-theoretic approach for model interpretability in Bayesian framework (Q2217444) (← links)
- Inflection points in community-level homeless rates (Q2245180) (← links)
- Targeted smooth Bayesian causal forests: an analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation (Q2247463) (← links)
- A semiparametric modeling approach using Bayesian additive regression trees with an application to evaluate heterogeneous treatment effects (Q2281248) (← links)
- Predicting missing values: a comparative study on non-parametric approaches for imputation (Q2282599) (← links)
- Variance prior forms for high-dimensional Bayesian variable selection (Q2290703) (← links)
- Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268) (← links)
- Neural random forests (Q2300087) (← links)
- Variable prioritization in nonlinear black box methods: a genetic association case study (Q2318669) (← links)
- Learning algorithms to evaluate forensic glass evidence (Q2318674) (← links)
- Estimating population average causal effects in the presence of non-overlap: the effect of natural gas compressor station exposure on cancer mortality (Q2318683) (← links)
- Automated versus do-it-yourself methods for causal inference: lessons learned from a data analysis competition (Q2325609) (← links)
- Comment: Contributions of model features to BART causal inference performance using ACIC 2016 competition data (Q2325620) (← links)
- Minimax-optimal nonparametric regression in high dimensions (Q2343958) (← links)
- A Bayesian regression tree approach to identify the effect of nanoparticles' properties on toxicity profiles (Q2349582) (← links)
- Multiple imputation for sharing precise geographies in public use data (Q2428744) (← links)
- Bayesian nonparametric regression with varying residual density (Q2434133) (← links)
- Machine learning applied to asteroid dynamics (Q2675566) (← links)
- Smoothing and adaptation of shifted Pólya tree ensembles (Q2676928) (← links)
- Flexible tree-structured regression models for discrete event times (Q2680302) (← links)
- Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis (Q2686067) (← links)
- Biomarker-Driven Adaptive Design (Q2800202) (← links)
- Sequential design for computer experiments with a flexible Bayesian additive model (Q2856566) (← links)
- Efficient Bayesian multivariate surface regression (Q2868862) (← links)
- Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods (Q3391146) (← links)
- A Generalized Estimating Equation Approach to Multivariate Adaptive Regression Splines (Q3391148) (← links)
- Heteroscedastic BART via Multiplicative Regression Trees (Q3391438) (← links)
- A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (Q3391439) (← links)
- Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← links)
- Bayesian Deep Net GLM and GLMM (Q3391454) (← links)
- Cluster‐Specific Variable Selection for Product Partition Models (Q3460664) (← links)
- An adaptive sampling scheme guided by BART—with an application to predict processor performance (Q3561488) (← links)
- A Bayesian CART algorithm (Q4212769) (← links)
- Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests (Q4559704) (← links)
- A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes (Q4559706) (← links)
- Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity (Q4628027) (← links)
