Gianluca Baio and Roberto Cerina used a modified version of a dynamic Bayesian forecasting model to "predict" the 2014 US Senate elections. The results bode well for the 2016 vote.
© 2015 The Royal Statistical Society.
Gianluca Baio and Roberto Cerina used a modified version of a dynamic Bayesian forecasting model to "predict" the 2014 US Senate elections. The results bode well for the 2016 vote.