비모델 통계방법론 연구실

연구실 소개

This lab conducts research on model-free statistical methodologies and their applications. Considering that many datasets make it difficult to pre-specify their underlying probability distributions or relationships between variables, we develop general methodologies that can eliminate or minimize assumptions about these. Related topics include hypothesis testing, variable selection, predictive inference, and threshold selection, which cover major topics in statistics and data science. Our goal is to apply these methodologies to real data to derive reliable and efficient results.