An efficient and flexible framework for inferring global sensitivity of agent-based model parameters.

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Title: An efficient and flexible framework for inferring global sensitivity of agent-based model parameters.
Authors: Bergman, Daniel R.1,2,3 (AUTHOR), Jackson, Trachette1 (AUTHOR), Jain, Harsh Vardhan4 (AUTHOR) harshj2@andrew.cmu.edu, Norton, Kerri-Ann5 (AUTHOR)
Source: PLoS Computational Biology. 9/8/2025, Vol. 21 Issue 9, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: An efficient and flexible framework for inferring global sensitivity of agent-based model parameters.
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  Data: <searchLink fieldCode="AR" term="%22Bergman%2C+Daniel+R%2E%22">Bergman, Daniel R.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jackson%2C+Trachette%22">Jackson, Trachette</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jain%2C+Harsh+Vardhan%22">Jain, Harsh Vardhan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> harshj2@andrew.cmu.edu</i><br /><searchLink fieldCode="AR" term="%22Norton%2C+Kerri-Ann%22">Norton, Kerri-Ann</searchLink><relatesTo>5</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 9/8/2025, Vol. 21 Issue 9, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187820359
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        Value: 10.1371/journal.pcbi.1013427
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        Text: English
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              Text: 9/8/2025
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