Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Sundell, Anders
and
Lewis-Beck, Michael S.
2014.
Forecasting the 2014 Parliamentary Election in Sweden.
SSRN Electronic Journal,
Jacobson, Gary C.
2015.
How Do Campaigns Matter?.
Annual Review of Political Science,
Vol. 18,
Issue. 1,
p.
31.
Stegmaier, Mary
and
Williams, Laron K.
2016.
Forecasting the 2015 British election through party popularity functions.
Electoral Studies,
Vol. 41,
Issue. ,
p.
260.
Fisher, Stephen D.
and
Lewis-Beck, Michael S.
2016.
Forecasting the 2015 British general election: The 1992 debacle all over again?.
Electoral Studies,
Vol. 41,
Issue. ,
p.
225.
Lewis-Beck, Michael S.
Nadeau, Richard
and
Bélanger, Éric
2016.
The British general election: Synthetic forecasts.
Electoral Studies,
Vol. 41,
Issue. ,
p.
264.
Wlezien, Christopher
Jennings, Will
and
Erikson, Robert S.
2017.
The “timeline” method of studying electoral dynamics.
Electoral Studies,
Vol. 48,
Issue. ,
p.
45.
Kennedy, Ryan
Wojcik, Stefan
and
Lazer, David
2017.
Improving election prediction internationally.
Science,
Vol. 355,
Issue. 6324,
p.
515.
Dassonneville, Ruth
Lewis-Beck, Michael S.
and
Mongrain, Philippe
2017.
Forecasting Dutch elections: An initial model from the March 2017 legislative contests.
Research & Politics,
Vol. 4,
Issue. 3,
Arroyo Abad, Leticia
and
Maurer, Noel
2020.
Blame it on the Governor? Retrospective Voting in the 1918 Spanish Flu Pandemic in the United States.
SSRN Electronic Journal ,
Chen, Qinghan
2020.
The Prediction on the Change of the Electoral Map Based on the Demographic Structure and Data Analysis.
p.
134.
Mongrain, Philippe
2021.
10 Downing Street: who’s next? Seemingly unrelated regressions to forecast UK election results.
Journal of Elections, Public Opinion and Parties,
Vol. 31,
Issue. 1,
p.
22.
Croco, Sarah E.
Hanmer, Michael J.
and
McDonald, Jared A.
2021.
At What Cost? Reexamining Audience Costs in Realistic Settings.
The Journal of Politics,
Vol. 83,
Issue. 1,
p.
8.
Leiter, Debra
2023.
Teaching Forecasting Without Teaching Methods.
Journal of Political Science Education,
Vol. 19,
Issue. 2,
p.
185.
Baumeister, Dorothea
Neveling, Marc
Roos, Magnus
Rothe, Jörg
Schend, Lena
Weishaupt, Robin
and
Xia, Lirong
2023.
The possible winner with uncertain weights problem.
Journal of Computer and System Sciences,
Vol. 138,
Issue. ,
p.
103464.
Feng, Guocheng
Chen, Kaihao
Cai, Huaiyu
and
Li, Zhijian
2023.
A Hybrid Method of Sentiment Analysis and Machine Learning Algorithm for the U.S. Presidential Election Forecasting.
p.
1495.
Barthwal, Anurag
Bhatt, Mamta
Avikal, Shwetank
and
Prakash, Chandra
2024.
Machine learning-based prediction models for electoral outcomes in India: a comparative analysis of exit polls from 2014–2021.
Quality & Quantity,