On The Problem of Relevance in Statistical Inference

TL;DR

This paper addresses the relevance problem in statistical inference, emphasizing its importance in analyzing large-scale heterogeneous data and highlighting the need for practical solutions over the past 50 years.

Contribution

It revisits the relevance problem in statistical inference, advocating for its consideration in practical data analysis involving heterogeneous datasets.

Findings

Relevance is crucial in large-scale data analysis.

The paper highlights the neglect of the relevance problem over 50 years.

Calls for renewed focus on relevance in statistical methods.

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.