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Bibliographic Details
Main Authors:	Xiao, Zhiguo, Wu, Peikai
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2506.23226
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A Latent Factor Panel Approach to Spatiotemporal Causal Inference
by: Wu, Jiaxi, et al.
Published: (2025)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)

Causal Inference for a Hidden Treatment
by: Zhou, Ying, et al.
Published: (2024)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Causal Inference with Complex Treatments: A Survey
by: Wang, Yingrong, et al.
Published: (2024)

Causal Inference for Spatial Treatments
by: Pollmann, Michael
Published: (2020)

Causal Data Fusion for Panel Data without a Pre-Intervention Period
by: Yang, Zou, et al.
Published: (2024)

A Unified Approach for Estimating Various Treatment Effects in Causal Inference
by: Wu, Kuan-Hsun, et al.
Published: (2025)

Conditional Selective Inference for the Selected Groups in Panel Data
by: Wan, Chuang, et al.
Published: (2025)

Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)

LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
by: Wang, Meijia, et al.
Published: (2024)

Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)

Causal Inference on Sequential Treatments via Tensor Completion
by: Gao, Chenyin, et al.
Published: (2025)

Efficient Inference for Incremental Causal Effects of Time to Treatment
by: Zhao, Zhichen, et al.
Published: (2026)

Doubly Robust Proximal Causal Learning for Continuous Treatments
by: Wu, Yong, et al.
Published: (2023)

Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
by: Boughdiri, Ahmed, et al.
Published: (2024)

Bayesian Causal Synthesis for Meta-Inference on Heterogeneous Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)

Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)

Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)

Bridging Binarization: Causal Inference with Dichotomized Continuous Exposures
by: Lee, Kaitlyn J., et al.
Published: (2024)

Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects
by: Xu, Haoyuan, et al.
Published: (2026)

Discussion of "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models"
by: Ben-Michael, Eli, et al.
Published: (2026)

Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
by: Zhou, Guanhao, et al.
Published: (2025)

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
by: Zheng, Jiajing, et al.
Published: (2021)

Difference-in-Differences Under Network Interference
by: Sun, Kuan, et al.
Published: (2025)

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025)

Aggregate Bayesian Causal Forests: The ABCs of Flexible Causal Inference for Hierarchically Structured Data
by: Thal, Dan R. C., et al.
Published: (2024)

Pseudo-Empirical Likelihood Methods for Causal Inference
by: Huang, Jingyue, et al.
Published: (2024)

Sample Empirical Likelihood Methods for Causal Inference
by: Huang, Jingyue, et al.
Published: (2024)

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
by: Chernozhukov, Victor, et al.
Published: (2024)

Robust Inference for Causal Mediation Analysis of Recurrent Event Data
by: Chen, Yan-Lin, et al.
Published: (2023)

Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
by: Bargagli-Stoffi, Falco J., et al.
Published: (2020)

Generative Causal Inference
by: Nareklishvili, Maria, et al.
Published: (2023)

Geodesic Causal Inference
by: Kurisu, Daisuke, et al.
Published: (2024)

Causal Inference under Interference: Regression Adjustment and Optimality
by: Fan, Xinyuan, et al.
Published: (2025)

Conformal Prediction for Causal Effects of Continuous Treatments
by: Schröder, Maresa, et al.
Published: (2024)

Robust Estimation and Inference in Panels with Interactive Fixed Effects
by: Armstrong, Timothy B., et al.
Published: (2022)

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