Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-22T03:23:54.249Z Has data issue: false hasContentIssue false
  • English
  • Français
Accepted manuscript

LASSOing the Governor’s Mansion: A Machine Learning Approach to Forecasting Gubernatorial Elections

Published online by Cambridge University Press:  15 October 2024

Gregory J. Love Open the ORCID record for Gregory J. Love [Opens in a new window] ,
Ryan E. Carlin Open the ORCID record for Ryan E. Carlin [Opens in a new window]  and
Matthew M. Singer Open the ORCID record for Matthew M. Singer [Opens in a new window]
Gregory J. Love
Affiliation:
University of Mississippi, USA
Ryan E. Carlin
Affiliation:
Georgia State University, USA
Matthew M. Singer
Affiliation:
University of Connecticut, USA
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Article
Information
PS: Political Science & Politics , Accepted manuscript , pp. 1 - 17
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association