The Hard Problem of Theory Choice: A Case Study on Causal Inference and Its Faithfulness Assumption.
The problem of theory choice and model selection is hard but still important when useful truths are underdetermined, perhaps not by all kinds of data but by the kinds of data we can have access to ethically or practicably—even if we have an infinity of such data. This article addresses a crucial ins...
| Publicado en: | Philosophy of Science Vol. 86; no. 5; pp. 967 - 981 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=140296248&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 140296248 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2019 vid: 86 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 140296248 10.1086/705492 ppf: 967 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1004KB tig: atl: The Hard Problem of Theory Choice: A Case Study on Causal Inference and Its Faithfulness Assumption. aug: au: Lin, Hanti su: Decision theory Causal models Case studies Data science Hypothesis sug: subj: Decision theory Causal models Case studies Data science Hypothesis ab: The problem of theory choice and model selection is hard but still important when useful truths are underdetermined, perhaps not by all kinds of data but by the kinds of data we can have access to ethically or practicably—even if we have an infinity of such data. This article addresses a crucial instance of that problem: the problem of inferring causal structures from nonexperimental, nontemporal data without assuming the so-called causal Faithfulness condition or the like. A new account of epistemic evaluation is developed to solve that problem and justify a standard practice of causal inference in data science. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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