The following pages link to BayesTree (Q20010):
Displaying 50 items.
- psica (Q39722) (← links)
- (Q96926) (redirect page) (← links)
- Learning Certifiably Optimal Rule Lists for Categorical Data (Q115375) (← links)
- Estimating treatment effect heterogeneity in randomized program evaluation (Q142565) (← links)
- Entity resolution with empirically motivated priors (Q273643) (← links)
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes (Q386729) (← links)
- Influencing elections with statistics: targeting voters with logistic regression trees (Q386749) (← links)
- Variable selection for BART: an application to gene regulation (Q484051) (← links)
- Bayesian synthesis: combining subjective analyses, with an application to ozone data (Q641113) (← links)
- Generalized random forests (Q666599) (← links)
- FSR methods for second-order regression models (Q901592) (← links)
- Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (Q902909) (← links)
- The Bayesian additive classification tree applied to credit risk modelling (Q962375) (← links)
- Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (Q972898) (← links)
- Preserving data utility via BART (Q974503) (← links)
- Logitboost autoregressive networks (Q1654262) (← links)
- Simultaneous dimension reduction and variable selection in modeling high dimensional data (Q1654282) (← links)
- Modeling threshold interaction effects through the logistic classification trunk (Q1695093) (← links)
- Bayesian additive regression trees using Bayesian model averaging (Q1704023) (← links)
- Tree ensembles with rule structured horseshoe regularization (Q1728658) (← links)
- Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy (Q1927050) (← links)
- Adaptive-modal Bayesian nonparametric regression (Q1950891) (← links)
- Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (Q1951519) (← links)
- A semiparametric modeling approach using Bayesian additive regression trees with an application to evaluate heterogeneous treatment effects (Q2281248) (← 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)
- Quantifying uncertainty in random forests via confidence intervals and hypothesis tests (Q2810797) (← links)
- Compressed Gaussian process for manifold regression (Q2810879) (← links)
- Sequential design for computer experiments with a flexible Bayesian additive model (Q2856566) (← links)
- Efficient Bayesian multivariate surface regression (Q2868862) (← links)
- Nonparametric Bayes Conditional Distribution Modeling With Variable Selection (Q3069895) (← 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)
- A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (Q3391439) (← links)
- Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← 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)
- Applied Statistical Genetics with R (Q3629343) (← links)
- Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests (Q4559704) (← links)
- Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models (Q4904729) (← links)
- Variable selection via a multi-stage strategy (Q5130191) (← links)
