Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Elias Bareinboim"'
Publikováno v:
RECIIS, Vol 1, Iss 2, Pp Sup329-Sup333 (2007)
We present a methodology based on grammatical inference algorithms applied to the linguistic modeling of biological regulation networks. The linguistic approach to the problem of regulation networks was proposed by COLLADO-VIDES, who proved and forma
Externí odkaz:
https://doaj.org/article/8144e3f3b90b45538f6cc0d50690d3d2
Publikováno v:
RECIIS, Vol 1, Iss 2 (2007)
Apresentamos uma metodologia baseada em algoritmos de inferência gramatical aplicada à modelagem lingüística de redes de regulação biológicas. A abordagem lingüística para o problema de redes de regulação foi proposta por Collado-Vides, qu
Externí odkaz:
https://doaj.org/article/7780218c6e0d4a469410d76e7dc620c6
Autor:
Elias Bareinboim, Judea Pearl
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:698-704
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive observations can be collected. The theory introduced in [Pearl and Bareinboi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952acac4dcf62b2dbd9b82f2be530dd1
https://doi.org/10.1609/aaai.v26i1.8232
https://doi.org/10.1609/aaai.v26i1.8232
Autor:
Junzhe Zhang, Elias Bareinboim
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:12207-12215
We investigate the problem of bounding causal effects from experimental studies in which treatment assignment is randomized but the subject compliance is imperfect. It is well known that under such conditions, the actual causal effects are not point-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d954c8ad3037e45ff38e25a8d13d7f
https://doi.org/10.1609/aaai.v35i13.17449
https://doi.org/10.1609/aaai.v35i13.17449
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
We study the problem of causal identification from an arbitrary collection of observational and experimental distributions, and substantive knowledge about the phenomenon under investigation, which usually comes in the form of a causal graph. We call
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d460231d1db32dbefe48b0af435bdfd3
https://doi.org/10.1609/aaai.v34i09.7119
https://doi.org/10.1609/aaai.v34i09.7119
Autor:
Elias Bareinboim, Juan D. Correa
Publikováno v:
AAAI
Some of the most prominent results in causal inference have been developed in the context of atomic interventions, following the semantics of the do-operator and the inferential power of the do-calculus. In practice, many real-world settings require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9974dfb39725f738bb8022ad8e4b379f
https://doi.org/10.1609/aaai.v34i06.6567
https://doi.org/10.1609/aaai.v34i06.6567
Autor:
Judea Pearl, Elias Bareinboim
Publikováno v:
Probabilistic and Causal Inference ISBN: 9781450395861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b6d88cd2704905cb2f401c12a0d1754
https://doi.org/10.1145/3501714.3501741
https://doi.org/10.1145/3501714.3501741
Publikováno v:
Probabilistic and Causal Inference ISBN: 9781450395861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3950054a1f7ba9ae18324126ac43896d
https://doi.org/10.1145/3501714.3501743
https://doi.org/10.1145/3501714.3501743
Autor:
Elias Bareinboim, Sanghack Lee
Publikováno v:
AAAI
Causal knowledge is sought after throughout data-driven fields due to its explanatory power and potential value to inform decision-making. If the targeted system is well-understood in terms of its causal components, one is able to design more precise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4a1cd0fd2a886dfb896afa4cfd1185
https://doi.org/10.1609/aaai.v33i01.33014164
https://doi.org/10.1609/aaai.v33i01.33014164
Autor:
Andrew Forney, Elias Bareinboim
Publikováno v:
AAAI
Randomized clinical trials (RCTs) like those conducted by the FDA provide medical practitioners with average effects of treatments, and are generally more desirable than observational studies due to their control of unobserved confounders (UCs), viz.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09a5c4211213226818d31a65180aa08
https://doi.org/10.1609/aaai.v33i01.33012454
https://doi.org/10.1609/aaai.v33i01.33012454