We describe a Bayesian model for analyses of the 2008 presidential election polls that incorporates third party candi-dates as well as undecided voters. The state-by-state results were used in a recursive formula for the total electoral votes for Barack Obama and for John McCain. A web site was updated almost daily with the state-by-state projections and the posterior distribution for the number of electoral votes for each candidate. The probability of Obama winning was nearly one late in the summer before dropping below one half during mid-September, and finally recovering to essentially one five weeks before the election. The presentation is accessible to readers with an intermediate level of statistics
Abstract: We used the index method to predict U.S. presidential election winners based on issues pol...
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We analyze individual probabilistic predictions of state outcomes in the 2008 U.S. presidential elec...
We analyze individual probabilistic predictions of state outcomes in the 2008 U.S. presidential elec...
A wide range of potentially useful data are available for election forecasting: the results of previ...
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Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
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Political polling was a hot topic in 2008 with an extended presidential primary election season and ...
Prediction markets now cover many important political events. The 2004 presi-dential election featur...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
Abstract: We used the index method to predict U.S. presidential election winners based on issues pol...
A method is proposed in this paper for predicting Electoral College victory probabilities from state...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...
In February of 2008, SurveyUSA polled 600 people in each state and asked who they would vote for in ...
We analyze individual probabilistic predictions of state outcomes in the 2008 U.S. presidential elec...
We analyze individual probabilistic predictions of state outcomes in the 2008 U.S. presidential elec...
A wide range of potentially useful data are available for election forecasting: the results of previ...
This article presents a data-driven Bayesian model used to predict the state-by-state wi...
In this paper a procedure is developed to derive the predictive density function of a future observa...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
This paper uses pre-election polls to forecast U.S. Presidential election outcomes in the states and...
We used the take-the-best heuristic to develop a model to forecast the popular twoparty vote shares ...
Political polling was a hot topic in 2008 with an extended presidential primary election season and ...
Prediction markets now cover many important political events. The 2004 presi-dential election featur...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
Abstract: We used the index method to predict U.S. presidential election winners based on issues pol...
A method is proposed in this paper for predicting Electoral College victory probabilities from state...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...