Implications of Use of Wright's F for the Role of Probability and Causation in Evolution.
Sewall Wright's FST is a mathematical test used to characterize differences between biological populations and identify causes of those differences. I discuss Cockerham and Weir's popular, empirically successful approach to statistical estimation of FST , arguing that their assumption that actual po...
| Published in: | Philosophy of Science Vol. 79; no. 5; pp. 596 - 609 |
|---|---|
| Main Author: | |
| Format: | Article |
| Published: |
Cambridge University Press
Dec2012
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=83538394&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 83538394 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2012 vid: 79 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 83538394 10.1086/667905 ppf: 596 ppct: 13 formats: fmt: @attributes: type: P size: 95KB tig: atl: Implications of Use of Wright's F for the Role of Probability and Causation in Evolution. aug: au: Abrams, Marshall affil: Department of Philosophy, University of Alabama, Birmingham, Birmingham, AL 35294-1260 su: Probability theory Causation (Philosophy) Heredity Simulation methods & models Computer simulation sug: subj: Probability theory Causation (Philosophy) Heredity Simulation methods & models Computer simulation ab: Sewall Wright's FST is a mathematical test used to characterize differences between biological populations and identify causes of those differences. I discuss Cockerham and Weir's popular, empirically successful approach to statistical estimation of FST , arguing that their assumption that actual populations are sampled from an infinite set of counterfactual populations (with a common ancestral population) supports a view of natural selection and genetic drift as distinct causes. I also argue that the way in which F-statistics and other statistical tests are applied to computer simulations in empirical research shows that selection and drift correspond to differences in objective, causal probabilities. 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: 2012 holdings: @attributes: islocal: N |
|---|