In a previous post, we have seen how to perform polls for a single State using poll data from KTNV/Rasmussen. Here we are going to see how to combine polls from different sources. Let us consider again Nevada polls. Poll Date Sample MoE Clinton (D) Trump (R) Johnson (L) Spread …
I will show how to apply the models described in a-description-of-bayesian-near_ignorance_prior to predict USA2016 election results in Nevada. The polls data are from www.realclearpolitics.com, in particular KTNV/Rasmussen poll (see below). In a future post, I will discuss how to take into account of the three polls. We start by importing …
Election Poll for a single state In this and follwoing posts, I’ll present a way to compute Bayesian prediction for the result of USA 2016 election based on election poll data and near-ignorance prior models. This model is described in detail here: A. Benavoli and M. Zaffalon. “Prior near ignorance …
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 …
I have just completed the wikipedia page for the Imprecise Dirichlet process, https://en.wikipedia.org/wiki/Imprecise_Dirichlet_process …any useful contribution/modification is welcome.
This post shows how to use the IDP statistical package to compare sport performance. As case study, I have considered (just for fun) the comparison of my climbing performance in two consecutive editions (2013 and 2014) of the “Tre Valli Bresciane” cycling race. The following table reports my ascent time …
Battle for White House 2012 – 2 weeks before election The statistical analysis has been performed by using the most recent (2 weeks before election) polling data from realclearpolitics. The dataset can be downloaded here, while Matlab code can be downloaded here. The minimum sample size is around 500 people. …
