A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
Fuente:
arXiv
Saved in:
| Main Authors: | Alcantara, Rafael, Hahn, P. Richard, Lopes, Hedibert F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modified BART for Learning Heterogeneous Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2024)
by: Alcantara, Rafael, et al.
Published: (2024)
Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026)
by: Kondo, Daisuke, et al.
Published: (2026)
Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)
by: Linero, Antonio R., et al.
Published: (2026)
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
by: Deng, Ruizhe, et al.
Published: (2026)
by: Deng, Ruizhe, et al.
Published: (2026)
MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)
by: Tian, Jiahao, et al.
Published: (2026)
Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)
by: Schuessler, Maximilian, et al.
Published: (2026)
Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
by: Schwarz, Philipp Alexander, et al.
Published: (2025)
by: Schwarz, Philipp Alexander, et al.
Published: (2025)
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)
by: Izbicki, Rafael, et al.
Published: (2026)
Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)
by: Van Dijcke, David
Published: (2025)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)
by: Rosenman, Evan, et al.
Published: (2019)
Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)
by: Breunig, Christoph, et al.
Published: (2022)
Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)
by: Calonico, Sebastian, et al.
Published: (2025)
Learning Treatment Representations for Downstream Instrumental Variable Regression
by: Lin, Shiangyi, et al.
Published: (2025)
by: Lin, Shiangyi, et al.
Published: (2025)
Bayesian Data Sketching for Varying Coefficient Regression Models
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments
by: Nagai, Tomoko, et al.
Published: (2024)
by: Nagai, Tomoko, et al.
Published: (2024)
Total robustness in Bayesian Nonlinear Regression
by: Chen, Mengqi, et al.
Published: (2025)
by: Chen, Mengqi, et al.
Published: (2025)
Conditional Rank-Rank Regression via Deep Conditional Transformation Models
by: Wang, Xiaoyi, et al.
Published: (2026)
by: Wang, Xiaoyi, et al.
Published: (2026)
Identification of Average Causal Effects in Confounded Additive Noise Models
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)
by: Simeone, Luigi
Published: (2026)
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
by: Wakayama, Tomoya
Published: (2024)
by: Wakayama, Tomoya
Published: (2024)
Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)
by: Sugasawa, Shonosuke, et al.
Published: (2023)
Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)
by: Nguyen, Khai, et al.
Published: (2026)
Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation
by: Fu, Yi-Fu, et al.
Published: (2025)
by: Fu, Yi-Fu, et al.
Published: (2025)
Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond
by: Shao, Daqian, et al.
Published: (2025)
by: Shao, Daqian, et al.
Published: (2025)
Shrinkage-Based Regressions with Many Related Treatments
by: Dilber, Enes, et al.
Published: (2025)
by: Dilber, Enes, et al.
Published: (2025)
Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
by: Roy, Somjit, et al.
Published: (2025)
by: Roy, Somjit, et al.
Published: (2025)
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
by: Kern, Christoph, et al.
Published: (2024)
by: Kern, Christoph, et al.
Published: (2024)
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
by: Umlauf, Nikolaus, et al.
Published: (2019)
by: Umlauf, Nikolaus, et al.
Published: (2019)
Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Transfer Learning for Kernel-based Regression
by: Wang, Chao, et al.
Published: (2023)
by: Wang, Chao, et al.
Published: (2023)
Dynamic Local Average Treatment Effects
by: Sojitra, Ravi B., et al.
Published: (2024)
by: Sojitra, Ravi B., et al.
Published: (2024)
Persuasion Effects in Regression Discontinuity Designs
by: Jun, Sung Jae, et al.
Published: (2025)
by: Jun, Sung Jae, et al.
Published: (2025)
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)
by: Neopane, Ojash, et al.
Published: (2025)
Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)
by: Wu, Zhanli, et al.
Published: (2025)
Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
by: Chen, Qianyi, et al.
Published: (2025)
by: Chen, Qianyi, et al.
Published: (2025)
Similar Items
-
Modified BART for Learning Heterogeneous Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2024) -
Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026) -
Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026) -
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
by: Deng, Ruizhe, et al.
Published: (2026) -
MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)