Bayesian additive regression trees and the General BART model
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Yaoyuan Vincent, Roy, Jason |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
"Robust-squared" Imputation Models Using BART
by: Tan, Yaoyuan V., et al.
Published: (2018)
by: Tan, Yaoyuan V., et al.
Published: (2018)
Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian Additive Regression Trees
by: Tan, Yaoyuan Vincent, et al.
Published: (2016)
by: Tan, Yaoyuan Vincent, et al.
Published: (2016)
Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024)
by: Serafini, F., et al.
Published: (2024)
Multiple Imputation for Small, Extremely High Efficacy Clinical Trials with Binary Endpoints
by: Tan, Yaoyuan Vincent, et al.
Published: (2025)
by: Tan, Yaoyuan Vincent, et al.
Published: (2025)
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
by: Esser, Jonas, et al.
Published: (2024)
by: Esser, Jonas, et al.
Published: (2024)
Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
by: Kabata, Daijiro, et al.
Published: (2025)
by: Kabata, Daijiro, et al.
Published: (2025)
Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study
by: Tan, Yaoyuan Vincent, et al.
Published: (2018)
by: Tan, Yaoyuan Vincent, et al.
Published: (2018)
Change-point regression with a smooth additive disturbance
by: Pein, Florian, et al.
Published: (2021)
by: Pein, Florian, et al.
Published: (2021)
Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)
by: Englert, Jacob, et al.
Published: (2023)
Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)
by: Poynor, Valerie, et al.
Published: (2014)
Logistic regression is not enough: The need for Bayesian nonparametric modelling for causal inference using observational data, exemplified by the 'gateway' effect
by: Foxon, Floe, et al.
Published: (2026)
by: Foxon, Floe, et al.
Published: (2026)
Extracting Emotion Phrases from Tweets using BART
by: Rezapour, Mahdi
Published: (2024)
by: Rezapour, Mahdi
Published: (2024)
A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)
by: Saha, Satabdi, et al.
Published: (2024)
Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)
by: Ren, Yangfan, et al.
Published: (2024)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
by: Li, Mingyuan, et al.
Published: (2025)
by: Li, Mingyuan, et al.
Published: (2025)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)
by: Xu, Zichun, et al.
Published: (2026)
Multi-objective Bayesian optimization for blocking in extreme value analysis and its application in additive manufacturing
by: Irfan, Shehzaib, et al.
Published: (2025)
by: Irfan, Shehzaib, et al.
Published: (2025)
Multi-study factor regression model: an application in nutritional epidemiology
by: De Vito, Roberta, et al.
Published: (2023)
by: De Vito, Roberta, et al.
Published: (2023)
Seismic fragility curves fitting revisited: ordinal regression models and their generalization
by: Chen, Libo
Published: (2024)
by: Chen, Libo
Published: (2024)
Addressing Spatial Confounding in geostatistical regression models: An R-INLA approach
by: Lamouroux, Jérémy, et al.
Published: (2024)
by: Lamouroux, Jérémy, et al.
Published: (2024)
Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., et al.
Published: (2025)
by: Nguyen, Phuc H., et al.
Published: (2025)
Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)
by: Newman, Ken B., et al.
Published: (2025)
How does course recommendation impact student outcomes? Examining directed self-placement with regression discontinuity analysis
by: Godfrey, Jason
Published: (2025)
by: Godfrey, Jason
Published: (2025)
Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
Comparing methods to assess treatment effect heterogeneity in general parametric regression models
by: Chen, Yao, et al.
Published: (2025)
by: Chen, Yao, et al.
Published: (2025)
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)
by: Urbas, Szymon, et al.
Published: (2023)
Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
by: Garraza, Lucas Godoy, et al.
Published: (2024)
by: Garraza, Lucas Godoy, et al.
Published: (2024)
Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
by: Garraza, Lucas Godoy, et al.
Published: (2024)
by: Garraza, Lucas Godoy, et al.
Published: (2024)
Comparison of offset and ratio weighted regressions in tweedie models with application to mid-term cancellations
by: Jean-Philippe, Boucher, et al.
Published: (2025)
by: Jean-Philippe, Boucher, et al.
Published: (2025)
Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data
by: Banerjee, Buddhananda, et al.
Published: (2024)
by: Banerjee, Buddhananda, et al.
Published: (2024)
Simultaneous clustering and estimation of additive shape invariant models for recurrent event data
by: Zhang, Zitong, et al.
Published: (2024)
by: Zhang, Zitong, et al.
Published: (2024)
Mixed additive modelling of global alien species co-invasions of plants and insects
by: Boschi, Martina, et al.
Published: (2023)
by: Boschi, Martina, et al.
Published: (2023)
Student t-Lévy regression model in YUIMA
by: Masuda, Hiroki, et al.
Published: (2024)
by: Masuda, Hiroki, et al.
Published: (2024)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
Similar Items
-
"Robust-squared" Imputation Models Using BART
by: Tan, Yaoyuan V., et al.
Published: (2018) -
Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian Additive Regression Trees
by: Tan, Yaoyuan Vincent, et al.
Published: (2016) -
Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024) -
Multiple Imputation for Small, Extremely High Efficacy Clinical Trials with Binary Endpoints
by: Tan, Yaoyuan Vincent, et al.
Published: (2025) -
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
by: Esser, Jonas, et al.
Published: (2024)