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Fast Bayesian estimation of spatial count data models

Publications associées (47)

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Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

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A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

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The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic rankings of hazardous sites in road networks. Typically, these methods assume ...

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Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

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Semi-Markov model for simulating MOOC students

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Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this s ...

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