Heavy-tailed distributions present a tough setting for inference. They are also common in industrial applications, particularly with internet transaction datasets, and machine learners often analyze such data without considering the biases and risks associated with the misuse of standard tools....

Bayesian A/B inference (BABI) is a method that combines subjective prior information with data from A/B experiments to provide inference for lift – the difference in a measure of response in control and treatment, expressed as its ratio to the measure of response in control. The procedure is...

Dieses Lehrbuch führt praxisorientiert in die Grundlagen, Techniken und Anwendungsmöglichkeiten der modernen induktiven Datenanalyse ein. Die Inhalte reichen von der klassischen Messfehlertheorie und den Grundlagen der Wahrscheinlichkeitsrechnung, über die Darstellung unterschiedlicher...

In this paper we reply to Mitesh Kataria’s comment, which criticized the simulations of Maniadis, Tufano, and List (2014, Am. Econ. Rev. 104(1), 277-290). We view these simulations as a means to illustrating the fact that we economists are unaware of the value of key variables that determine...

This paper tests for robust multidimensional poverty comparisons across six countries of the West African Economic and Monetary Union (WAEMU). Two dimensions are considered, nutritional status and assets. The estimation of the asset index is based on two factorial analysis methods. The first...