The content discusses the application of Generalized Stochastic Dominance (GSD) in statistical comparisons involving random variables with locally varying scales. It addresses challenges in statistics and machine learning by proposing a methodology that considers stochastic dominance under different types of uncertainties. The study introduces a regularized statistical test for GSD, emphasizing its robustness through imprecise probability models. By illustrating the approach using data from multidimensional poverty measurement, finance, and medicine, the authors aim to provide an efficient framework for analyzing systematic distributional differences within populations.
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by Christoph Ja... at arxiv.org 03-05-2024
https://arxiv.org/pdf/2306.12803.pdfDeeper Inquiries