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Data-driven algorithms for dimension reduction in causal inference
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Stat4Reg)
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Stat4Reg)
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Stat4Reg)
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Stat4Reg)
2016 (English)In: Computational Statistics & Data Analysis, ISSN 0167-9473, E-ISSN 1872-7352, Vol. 105, 280-292 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2016. Vol. 105, 280-292 p.
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-125794DOI: 10.1016/j.csda.2016.08.012OAI: oai:DiVA.org:umu-125794DiVA: diva2:971689
Funder
Swedish National Infrastructure for Computing (SNIC), SNIC 2016/1-2Swedish Research Council, 2013-672Swedish Research Council, 07531Riksbankens Jubileumsfond, P11-0814:1
Available from: 2016-09-19 Created: 2016-09-19 Last updated: 2016-09-21

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Persson, EmmaHäggström, JennyWaernbaum, Ingeborgde Luna, Xavier
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