Also for the 2016 USA election, I will periodically post election polls for the *battle for White House* using *Bayesian methods* based on* near-ignorance prior probabilities* that automatically allows to perform *swing scenarios* (e.g.,

a percentage of voters decide to change their vote). This is the first result with using June polls. In future posts, I will add a more deeper analysis of *swing scenarios. *At the moment, the result is that Hilary Clinton will win the election with very high probability.

The statistical analysis has been performed

by using the most recent polling data from here. The minimum sample size is around 500 people. The analysis employs

an imprecise probability robust Bayesian approach in which robustness is

evaluated with respect to the following swing scenarios:

- Best for Clinton: in each state the preference of c=2 people among the n polled is changed from Trump to Clinton.
- Best for Trump: in each state the preference of c=2 people among the n polled is changed from Clinton to Trump.

In

practice, we are assuming that two voters in each State lied during

the poll (or changed their mind) and we test how this affects the

prediction of the election result.

These two cases are naturally obtained by applying a Bayesian approach

in which

prior ignorance is modelled through a set of near-ignorance prior probabilities.

Under this view, changing the preference of the 2 voters is equivalent

to test the robustnees of the inferences to the choice of the prior

model.

The probability of winning of the two candidates is shown in the

following bar-plot, where the blue-bar refers to the “Best for Clinton”

case

and the red-bar to the “Best for Trump” case. In the “worst for Clinton”

case, the probability of winning of Clinton is 95% and, thus, the

probability in favour of Trump is just 5% (the blue bars).

The probability distribution of the electoral votes in the two extreme cases is shown in the following histogram.

(light red histogram is “Best for Romney”, light blue histogram is “Best for Clinton”) together with

the 50-50 line (equal to 269 electoral votes).

From the histogram, it can be noticed that

at the moment there is not much uncertainty. **Clinton is going to win the election with very high probability.**

This is the electoral map for the 95% case (blue Democrat, red Republican).