Nevada data poll with near-ignorance priors and Python

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, 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 …

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Battle for White House 2016

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 …

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I have just completed the wikipedia page for the Imprecise Dirichlet process, …any useful contribution/modification is welcome.