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Proximal Causal Inference for Conditional Separable Effects
Arxiv
0+阅读 · 2月17日
Distributional Balancing for Causal Inference: A Unified Framework via Characteristic Function Distance
Arxiv
0+阅读 · 2月5日
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
Arxiv
0+阅读 · 2月13日
Identifying Unmeasured Confounders in Panel Causal Models: A Two-Stage LM-Wald Approach
Arxiv
0+阅读 · 2月15日
Sample size and power calculations for causal inference of observational studies
Arxiv
0+阅读 · 2月14日
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data
Arxiv
0+阅读 · 2月8日
Neural Score Matching for High-Dimensional Causal Inference
Arxiv
0+阅读 · 2月11日
Causal Data Fusion for Panel Data without a Pre-Intervention Period
Arxiv
0+阅读 · 2月6日
Spatial causal inference in the presence of unmeasured confounding and interference
Arxiv
0+阅读 · 2月15日
Causal Inference on Stopped Random Walks in Online Advertising
Arxiv
0+阅读 · 2月5日
Bridging Binarization: Causal Inference with Dichotomized Continuous Exposures
Arxiv
0+阅读 · 2月4日
Causal Inference for Preprocessed Outcomes with an Application to Functional Connectivity
Arxiv
0+阅读 · 2月2日
Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
Arxiv
0+阅读 · 2月2日
Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
Arxiv
0+阅读 · 2月3日
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Arxiv
0+阅读 · 2月3日
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