Pages that link to "Item:Q65651"
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The following pages link to BART: Bayesian additive regression trees (Q65651):
Displaying 50 items.
- A shared latent process model to correct for preferential sampling in disease surveillance systems (Q6050931) (← links)
- Adaptive Bayesian Sum of Trees Model for Covariate-Dependent Spectral Analysis (Q6055754) (← links)
- Dynamic treatment regimes with interference (Q6059457) (← links)
- GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes (Q6071715) (← links)
- The taxicab sampler: MCMC for discrete spaces with application to tree models (Q6074155) (← links)
- A semiparametric Bayesian approach to population finding with time‐to‐event and toxicity data in a randomized clinical trial (Q6074511) (← links)
- Bayesian neural tree models for nonparametric regression (Q6075185) (← links)
- Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART) (Q6079571) (← links)
- TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES (Q6088679) (← links)
- Variable Selection Via Thompson Sampling (Q6107208) (← links)
- Stochastic Tree Ensembles for Regularized Nonlinear Regression (Q6107230) (← links)
- Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model (Q6121614) (← links)
- Bayesian quickest detection of credit card fraud (Q6121620) (← links)
- Bayesian survival tree ensembles with submodel shrinkage (Q6121789) (← links)
- Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery (Q6135979) (← links)
- A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics (Q6138640) (← links)
- An evolutionary estimation procedure for generalized semilinear regression trees (Q6148396) (← links)
- Optimization on Manifolds via Graph Gaussian Processes (Q6151665) (← links)
- Bayesian CART models for insurance claims frequency (Q6152709) (← links)
- BART-based inference for Poisson processes (Q6167043) (← links)
- Estimating heterogeneous treatment effects versus building individualized treatment rules: connection and disconnection (Q6170514) (← links)
- Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach (Q6170882) (← links)
- Bayesian additive regression trees for genotype by environment interaction models (Q6179102) (← links)
- Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome (Q6190641) (← links)
- Bayesian projection pursuit regression (Q6190647) (← links)
- mBART: multidimensional monotone BART (Q6202919) (← links)
- Dynamic treatment regimes using Bayesian additive regression trees for censored outcomes (Q6205050) (← links)
- Learning from high dimensional data based on weighted feature importance in decision tree ensembles (Q6538421) (← links)
- Multinomial probit Bayesian additive regression trees (Q6539173) (← links)
- Robust and accurate regression-based techniques for period inference in real-time systems (Q6543318) (← links)
- Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
- A localized ensemble of approximate Gaussian processes for fast sequential emulation (Q6548820) (← links)
- Ordered probit Bayesian additive regression trees for ordinal data (Q6548912) (← links)
- Influential Observations in Bayesian Regression Tree Models (Q6552524) (← links)
- A simple approach for local and global variable importance in nonlinear regression models (Q6561260) (← links)
- Type I Tobit Bayesian additive regression trees for censored outcome regression (Q6570355) (← links)
- Heterogeneous treatment effect-based random forest: HTERF (Q6573307) (← links)
- Variable selection using Bayesian additive regression trees (Q6577814) (← links)
- Nonparametric failure time: time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures (Q6589247) (← links)
- Improved inference for doubly robust estimators of heterogeneous treatment effects (Q6589258) (← links)
- Prior and posterior checking of implicit causal assumptions (Q6589259) (← links)
- Bayesian nonparametric adjustment of confounding (Q6589270) (← links)
- Hierarchical Bayesian bootstrap for heterogeneous treatment effect estimation (Q6590276) (← links)
- Functional horseshoe smoothing for functional trend estimation (Q6593377) (← links)
- The how and why of Bayesian nonparametric causal inference (Q6601995) (← links)
- A review on computer model calibration (Q6604366) (← links)
- Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects (Q6618414) (← links)
- Partially fixed bayesian additive regression trees (Q6620581) (← links)
- Multiple imputation procedures for estimating causal effects with multiple treatments with application to the comparison of healthcare providers (Q6622227) (← links)
- Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome (Q6625360) (← links)
