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Showing 1 to 3 of 3 for “"counterfactual inference"”.
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Estimation, Prediction and Counterfactual Inference with Dependent Observations
… unsupervised learning, supervised learning and counterfactual inference. In supervised learning, we observe a sequence of unlabeled examples and our goal is to infer some structural property from the distribution they came from. The presence of dependencies could severely complicate this …
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Probabilistic Time-to-Event Modeling Approaches for Risk Profiling
… we introduce a theoretically grounded unified counterfactual inference framework for survival analysis, which adjusts for bias from two sources, namely, confounding (from covariates influencing both the treatment assignment and the outcome) and censoring (informative or non-informative). To …
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Transcriptional regulatory genomics: from mechanistic modeling to causal inference
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms