Graph-Split Bayesian Causal Forest for Spatial Heterogeneous Treatment Effect Estimation

arXiv:2609.36046 · stat.ME, stat.ML · Submitted 2026-09-28 · Read on arXiv

stat.ME, stat.ML

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/shuren-he/GSBCF

Terminology

• Causal Inference — 24× in this paper · explained in 4 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Graph-Split Bayesian Causal Forest — 5× in this paper
• Informed Importance Tempering — 5× in this paper
• Robustness — 5× in this paper · explained in 5 episodes
• Uncertainty Quantification — 5× in this paper · explained in 8 episodes
• Bayesian Inference — 4× in this paper · explained in 5 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Chronic Obstructive Pulmonary Disease — 3× in this paper
• Empirical Coverage — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Additive Decomposition — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Pruning — 1× in this paper · explained in 4 episodes
• Stable Unit Treatment Value Assumption — 1× in this paper
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• On Mixing Rates for Bayesian CART
• PSweight: An R Package for Propensity Score Weighting Analysis

Related papers

• Doubly robust inference via calibration
• Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
• Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
• Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
• A Survey on Archetypal Analysis
• Dynamic Spatial Bayesian Machine Learning Model: Applications to Intergenerational Economic Mobility and Geographic Income Inequality in the United States