林晓彤，厦门大学经济学院统计系助理教授，2019本科及研究生毕业于美国哥伦比亚大学，2024年博士毕业于新加坡国立大学统计与数据科学学院。研究方向涵盖高维统计推断与变量选择，致力于在复杂数据结构下发展可解释、稳健的统计方法与推断工具。在JRSSB ...

The HiDimStat package provides statistical inference methods to solve the problem of variable importance evaluation in the context of predictive model using high ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...

Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...

The prevalent approach to motif analysis seeks to describe the local connectivity structure of networks by identifying subgraph patterns that appear significantly more often in a network then expected ...

No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...