Hangbin Lee
Assistant Professor
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About
Hangbin Lee is an Assistant Professor at Chungnam National University in South Korea. His research areas include satellite conjunction analysis, epistemic confidence, statistical applications in data science, and variable selection for cause-specific hazard frailty models. He has recently published articles addressing critical issues in these domains, contributing to advancements in confidence distribution techniques and competing-risk data analysis.
Articles (5)
Year:
2025
We define confidence to be epistemic if it applies to an observed confidence interval. Epistemic confidence is unavailable—or even denied—in orthodox frequentist inference, as the confidence level is understood to apply to the procedure. Yet there are obvious practical and psychological needs to think about the uncertainty in the observed interval. We extend the Dutch Book argument used in the classical Bayesian justification of subjective probability to a stronger market‐based version, which prevents external agents from exploiting unused information in any relevant subset. We previously showed that confidence is an extended likelihood, and the likelihood principle states that the likelihood contains all the information in the data, hence leaving no relevant subset. Intuitively, this implies that confidence associated with the full likelihood is protected from the Dutch Book, and hence is epistemic. Our goal is to validate this intuitive notion through theoretical backing and practical illustrations.
Year:
2023
Year:
2023
Year:
2022
Year:
2021
Collaborators (2)
Youngjo Lee
-
Yudi Pawitan
Professor
Karolinska Institutet
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