Statistical Model Building, Machine Learning, and the Ah-Ha Moment

TL;DR

This paper reflects on the evolution of statistical model building and machine learning, emphasizing the importance of the 'Ah-Ha' moments that lead to significant insights and advancements in the field.

Contribution

It offers a personal perspective on the development of statistical science, highlighting key insights and lessons learned throughout a statistical career.

Findings

Identification of pivotal moments in statistical discovery

Insights into the integration of statistical modeling and machine learning

Guidance for young statisticians on career development

Abstract

The Committee of Presidents of Statistical Societies (COPSS) will celebrate its 50th Anniversary in 2013. As part of its celebration, COPSS intends to publish a book with contributions from the past recipients of its four awards, namely the Fisher Lecture Award, the President's Award, the Elizabeth Scott Award, and the FN David Award. The theme of the book is Past, Present and Future of Statistical Science. As a winner of the Elizabeth Scott Award, I have been invited to contribute. We were given several topics to choose from and I have chosen to focus on "Statistical Career: Your reflection on your own career, lessons and experience you have learned, and advice you would like to provide to young statisticians if sought." This article is my contribution.