Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence
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Abstract (arXiv)
We propose doubly robust adaptive conformal inference (DR-ACI), which constructs prediction intervals for doubly robust pseudo-outcomes under temporal dependence.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 26 references that are in the map. First posted on arXiv 29 Jun 2026.
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References · 8
- 2016Distribution-Free Predictive Inference For Regressioncited by 668
- 2015Estimation and Inference of Heterogeneous Treatment Effects using Random Forestscited by 600
- 2021Adaptive Conformal Inference Under Distribution Shiftcited by 375
- 2020Conformal Inference of Counterfactuals and Individual Treatment Effectscited by 151
- 2024Kernel-based Optimally Weighted Conformal Time-Series Predictioncited by 15
- 2025Predictive inference for time series: why is split conformal effective despite temporal dependence?cited by 10
- 2024Doubly Robust Conformalized Survival Analysis with Right-Censored Datacited by 6
- 2025Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomescited by 3
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