Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment

David Steinberg.  The principle of peer review is central to the evaluation of research, by ensuring that only high-quality items are funded or published. But peer review has also received criticism, as the selection of reviewers may introduce biases in the system. In 2014, the organizers of the Neural Information Processing Systems conference conducted an … Continue reading Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment

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A Bayesian Semiparametric Framework for Understanding and Predicting Customer Base Dynamics

David Steinberg.  Dew and Ansari look at how to automate customer analytics. This can be a crucial activity for companies that manage distinct customer bases. In these data-rich and dynamic settings, visualization is essential for understanding events of interest. The value of visualization has led to the popularity of analytics dashboards. Although popular in practice, … Continue reading A Bayesian Semiparametric Framework for Understanding and Predicting Customer Base Dynamics