Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016

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Bibliographic Details
Main Authors: Michael Isakov, Shiro Kuriwaki
Format: Article
Language:English
Published: The MIT Press 2020-11-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.86a46f38
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author Michael Isakov
Shiro Kuriwaki
author_facet Michael Isakov
Shiro Kuriwaki
author_sort Michael Isakov
collection DOAJ
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publishDate 2020-11-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-64b91d6ee7a245149e8d0f785670d17e2025-08-20T02:38:32ZengThe MIT PressHarvard Data Science Review2644-23532020-11-0110.1162/99608f92.86a46f38Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016Michael IsakovShiro Kuriwakihttp://dx.doi.org/10.1162/99608f92.86a46f38
spellingShingle Michael Isakov
Shiro Kuriwaki
Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
Harvard Data Science Review
title Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
title_full Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
title_fullStr Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
title_full_unstemmed Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
title_short Towards Principled Unskewing: Viewing 2020 Election Polls Through a Corrective Lens from 2016
title_sort towards principled unskewing viewing 2020 election polls through a corrective lens from 2016
url http://dx.doi.org/10.1162/99608f92.86a46f38
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AT shirokuriwaki towardsprincipledunskewingviewing2020electionpollsthroughacorrectivelensfrom2016