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Statistical workflow Introduction

delete2026-05-01
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PRE
AI
A
Andrew Gelman *
A
Aki Vehtari
R
Richard McElreath
DOI：10.1098/rsta.2025.0293delete
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Abstract

Abstract

En 中文
We consider several aspects of data analysis that are underemphasized in most presentations of statistical theory and practice. We illustrate some of these with a simple example of Bayesian workflow and conclude by emphasizing shared aspects of Bayesian and non-Bayesian data analysis workflows. The audience for this paper includes statisticians and applied researchers who might not be aware of these commonalities across apparently opposing statistical philosophies. This article is part of the theme issue 'Statistical workflow'.
Keywords:
workflow
statistical practice
Bayesian data analysis

Journal

P
Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences
IF:
3.7
Papers:
7.8K
Citations:
2.8W

Organization

A
Aalto University
Scholars:
376
Papers: 156
Citations: 0
M
Max Planck Society
Scholars:
273
Papers: 106
Citations: 0
C
Columbia University
Scholars:
1.0K
Papers: 401
Citations: 0
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