Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Montgomery, Jacob M.
Hollenbach, Florian M.
and
Ward, Michael D.
2012.
Ensemble Predictions of the 2012 US Presidential
Election.
PS: Political Science & Politics,
Vol. 45,
Issue. 4,
p.
651.
Ward, Michael D.
Metternich, Nils W.
Dorff, Cassy L.
Gallop, Max
Hollenbach, Florian M.
Schultz, Anna
and
Weschle, Simon
2013.
Learning from the Past and Stepping into the Future: Toward a New Generation of Conflict Prediction.
International Studies Review,
Vol. 15,
Issue. 4,
p.
473.
Graefe, Andreas
2013.
Conditions of Ensemble Bayesian Model Averaging for Political Forecasting.
SSRN Electronic Journal,
Gayo-Avello, Panagiotis Takis Metax, Daniel
Schoen, Harald
Gayo-Avello, Daniel
Takis Metaxas, Panagiotis
Mustafaraj, Eni
Strohmaier, Markus
and
Gloor, Peter
2013.
The power of prediction with social media.
Internet Research,
Vol. 23,
Issue. 5,
p.
528.
Xu, Xiangming
Madden, Laurence V.
Edwards, Simon G.
Doohan, Fiona M.
Moretti, Antonio
Hornok, L.
Nicholson, P.
and
Ritieni, A.
2013.
Developing logistic models to relate the accumulation of DON associated with Fusarium head blight to climatic conditions in Europe.
European Journal of Plant Pathology,
Vol. 137,
Issue. 4,
p.
689.
Agapitos, Alexandros
O'Neill, Michael
and
Brabazon, Anthony
2014.
Ensemble Bayesian Model Averaging in Genetic Programming.
p.
2451.
Xiaotian Jin
Defeng Guo
and
Hongjian Liu
2014.
Enhanced stock prediction using social network and statistical model.
p.
1199.
Graefe, Andreas
Armstrong, J. Scott
Jones, Randall J.
and
Cuzán, Alfred G.
2014.
Combining forecasts: An application to elections.
International Journal of Forecasting,
Vol. 30,
Issue. 1,
p.
43.
Hirose, Kentaro
Imai, Kosuke
and
Lyall, Jason
2014.
Can Civilian Attitudes Predict Civil War Violence?.
SSRN Electronic Journal,
Xu, Xiangming
Madden, Laurence V.
and
Edwards, Simon G.
2014.
Modeling the Effects of Environmental Conditions on HT2 and T2 Toxin Accumulation in Field Oat Grains.
Phytopathology®,
Vol. 104,
Issue. 1,
p.
57.
Ulfelder, Jay
2014.
Using the 'Wisdom of (Expert) Crowds' to Forecast Mass Atrocities.
SSRN Electronic Journal,
Graefe, Andreas
Armstrong, J. Scott
Jones, Randall J.
and
Cuzán, Alfred G.
2014.
Accuracy of Combined Forecasts for the 2012 Presidential Election: The PollyVote.
PS: Political Science & Politics,
Vol. 47,
Issue. 02,
p.
427.
Schrodt, Philip A
2014.
Seven deadly sins of contemporary quantitative political analysis.
Journal of Peace Research,
Vol. 51,
Issue. 2,
p.
287.
Beger, Andreas
Dorff, Cassy L
and
Ward, Michael D
2014.
Ensemble forecasting of irregular leadership change.
Research & Politics,
Vol. 1,
Issue. 3,
p.
205316801455751.
Keneshloo, Yaser
Cadena, Jose
Korkmaz, Gizem
and
Ramakrishnan, Naren
2014.
Detecting and forecasting domestic political crises.
p.
192.
Hu, Xiaoping
Madden, Laurence V.
Edwards, Simon
and
Xu, Xiangming
2015.
Combining Models is More Likely to Give Better Predictions than Single Models.
Phytopathology®,
Vol. 105,
Issue. 9,
p.
1174.
Hindman, Matthew
2015.
Building Better Models.
The ANNALS of the American Academy of Political and Social Science,
Vol. 659,
Issue. 1,
p.
48.
Kotu, Vijay
and
Deshpande, Bala
2015.
Predictive Analytics and Data Mining.
p.
63.
Graefe, Andreas
2015.
Improving forecasts using equally weighted predictors.
Journal of Business Research,
Vol. 68,
Issue. 8,
p.
1792.
Montgomery, Jacob M.
Hollenbach, Florian M.
and
Ward, Michael D.
2015.
Calibrating ensemble forecasting models with sparse data in the social sciences.
International Journal of Forecasting,
Vol. 31,
Issue. 3,
p.
930.