{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/model-robust-counterfactual-prediction-method","title":"Model-Robust Counterfactual Prediction Method","arxiv_id":"1705.07019","date":"2017-05-19","proceeding":null,"authors":["Dave Zachariah","Petre Stoica"],"abstract":"We develop a novel method for counterfactual analysis based on observational\ndata using prediction intervals for units under different exposures. Unlike\nmethods that target heterogeneous or conditional average treatment effects of\nan exposure, the proposed approach aims to take into account the irreducible\ndispersions of counterfactual outcomes so as to quantify the relative impact of\ndifferent exposures. The prediction intervals are constructed in a\ndistribution-free and model-robust manner based on the conformal prediction\napproach. The computational obstacles to this approach are circumvented by\nleveraging properties of a tuning-free method that learns sparse additive\npredictor models for counterfactual outcomes. The method is illustrated using\nboth real and synthetic data.","url_abs":"http://arxiv.org/abs/1705.07019v5","url_pdf":"http://arxiv.org/pdf/1705.07019v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"model-robust-counterfactual-prediction-method","repo_url":"https://github.com/dzachariah/counterfactual","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"conformal-prediction","task_name":"Conformal Prediction"},{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"prediction-intervals","task_name":"Prediction Intervals"},{"task_slug":null,"task_name":"counterfactual"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}