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What Do We Know at 7 PM on Election Night?
ANDREW GELMAN and NATE SILVER
Vol. 83, No. 4 (October 2010), pp. 258-266
Published by: Mathematical Association of America
Stable URL: http://www.jstor.org/stable/10.4169/002557010x521787
Page Count: 9
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Summary We use a probability forecasting model to estimate the chance of different branches on the tree of state-by-state outcomes on election night. Forecasting models can use data from pre-election surveys as well as extrapolation based on previous election results. We implement conditional probability calculations numerically using a matrix representing 10,000 simulations of the outcomes in the 50 states.
Copyright the Mathematical Association of America 2010