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On The Problem of Relevance in Statistical Inference

Methodology 2021-05-06 v3 Statistics Theory Machine Learning Statistics Theory

Abstract

This paper is dedicated to the "50 Years of the Relevance Problem" - a long-neglected topic that begs attention from practical statisticians who are concerned with the problem of drawing inference from large-scale heterogeneous data.

Keywords

Cite

@article{arxiv.2004.09588,
  title  = {On The Problem of Relevance in Statistical Inference},
  author = {Subhadeep Mukhopadhyay and Kaijun Wang},
  journal= {arXiv preprint arXiv:2004.09588},
  year   = {2021}
}

Comments

Revised (much-improved) version. The procedure (including all the datasets) is implemented in the R-package LPRelevance

R2 v1 2026-06-23T14:58:47.426Z