著者について

Bradley Efron is a prominent statistician known for his pioneering work in the field of statistics, particularly in the development of the bootstrap method, which revolutionized statistical inference. His contributions have significantly impacted both theoretical and applied statistics, making complex statistical methods more accessible to practitioners in various fields. Efron's research spans a wide range of topics, including empirical Bayes methods, large-scale inference, and the application of statistical techniques in data science.

Efron's academic career has been marked by numerous awards and honors, reflecting his influence on the discipline. As a professor at Stanford University, he has mentored many students and researchers, fostering a new generation of statisticians who continue to build on his foundational work. His books, such as "Computer Age Statistical Inference" and "Large-Scale Inference," are considered essential readings for anyone looking to understand modern statistical methodologies.

国籍 アメリカ人
生年月日 April 24, 1938
出生地 New York City, New York, USA
影響を受けた人