Statistical thinking: From Tukey to Vardi and beyond
Larry Shepp
TL;DR
This paper explores the evolution of statistical thinking from Tukey's foundational ideas to Vardi's contributions, highlighting shifts in data modeling and analysis approaches in statistics and related fields.
Contribution
It provides a historical and conceptual analysis of Vardi's work and its relation to Tukey's perspectives, emphasizing developments beyond traditional data modeling.
Findings
Vardi's work in emission tomography advances statistical imaging methods.
Discussion clarifies the role of modeling in modern data analysis.
Historical insights into the evolution of statistical thinking.
Abstract
Data miners (minors?) and neural networkers tend to eschew modelling, misled perhaps by misinterpretation of strongly expressed views of John Tukey. I discuss Vardi's views of these issues as well as other aspects of Vardi's work in emision tomography and in sampling bias.
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