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We present new developments regarding positive empirical models of election frauds. We further develop the general framework for Bayesian estimation of finite mixture models of election frauds (models that include covariates) to support estimating …

We present new developments regarding positive empirical models of election frauds. We develop a general Bayesian framework using finite mixture models of product distributions to identify the probability and distribution of frauds in elections. The …

Authors have argued that decentralization of political authority in multilevel polities can have a variety of consequences on policy outcomes. In this paper we investigate how voters make sense of those consequences and how it affects their …

This work presents a Bayesian finite mixture model of logistic regression models to estimate the probability of fraud in elections. The features of the electorate and polling places are built into the structure of the model, which allows researchers …