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of 22
pro vyhledávání: '"Finkelstein, Noam"'
When causal quantities cannot be point identified, researchers often pursue partial identification to quantify the range of possible values. However, the peculiarities of applied research conditions can make this analytically intractable. We present
Externí odkaz:
http://arxiv.org/abs/2109.13471
Directed acyclic graphs (DAGs) with hidden variables are often used to characterize causal relations between variables in a system. When some variables are unobserved, DAGs imply a notoriously complicated set of constraints on the distribution of obs
Externí odkaz:
http://arxiv.org/abs/2107.07087
When data contains measurement errors, it is necessary to make assumptions relating the observed, erroneous data to the unobserved true phenomena of interest. These assumptions should be justifiable on substantive grounds, but are often motivated by
Externí odkaz:
http://arxiv.org/abs/2012.12449
Autor:
Finkelstein, Noam, Shpitser, Ilya
Publikováno v:
Proceedings of the Thirty Sixth Conference on Uncertainty in Artificial Intelligence (UAI-36th), 2020
Causal parameters may not be point identified in the presence of unobserved confounding. However, information about non-identified parameters, in the form of bounds, may still be recovered from the observed data in some cases. We develop a new genera
Externí odkaz:
http://arxiv.org/abs/2007.00628
Autor:
Duarte, Guilherme1 (AUTHOR), Finkelstein, Noam2 (AUTHOR), Knox, Dean1 (AUTHOR) dcknox@upenn.edu, Mummolo, Jonathan3 (AUTHOR), Shpitser, Ilya2 (AUTHOR)
Publikováno v:
Journal of the American Statistical Association. Sep2024, Vol. 119 Issue 547, p1778-1793. 16p.
Autor:
Rahman, Faisal, Finkelstein, Noam, Alyakin, Anton, Gilotra, Nisha A., Trost, Jeff, Schulman, Steven P., Saria, Suchi
Publikováno v:
In Journal of the Society for Cardiovascular Angiography & Interventions May-June 2022 1(3)
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Autor:
Bigelow, Emma, Saria, Suchi, Piening, Brian, Curti, Brendan, Dowdell, Alexa, Weerasinghe, Roshanthi, Bifulco, Carlo, Urba, Walter, Finkelstein, Noam, Fertig, Elana J, Baras, Alex, Zaidi, Neeha, Jaffee, Elizabeth, Yarchoan, Mark
Supplemental material, sj-docx-1-cix-10.1177_11769351221136081 for A Random Forest Genomic Classifier for Tumor Agnostic Prediction of Response to Anti-PD1 Immunotherapy by Emma Bigelow, Suchi Saria, Brian Piening, Brendan Curti, Alexa Dowdell, Rosha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2207eaf2947bed29a59722a7f2533b
Autor:
Bigelow, Emma, Saria, Suchi, Piening, Brian, Curti, Brendan, Dowdell, Alexa, Weerasinghe, Roshanthi, Bifulco, Carlo, Urba, Walter, Finkelstein, Noam, Fertig, Elana J, Baras, Alex, Zaidi, Neeha, Jaffee, Elizabeth, Yarchoan, Mark
Publikováno v:
Cancer Informatics; 11/22/2022, Vol. 21, p1-12, 12p
Autor:
Finkelstein, Noam, Shpitser, Ilya
Publikováno v:
Proc Mach Learn Res
Causal parameters may not be point identified in the presence of unobserved confounding. However, information about non-identified parameters, in the form of bounds, may still be recovered from the observed data in some cases. We develop a new genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2728ef7e48dcddd90ee063b5140bd168
https://europepmc.org/articles/PMC7720862/
https://europepmc.org/articles/PMC7720862/