3 papers
stat.ME2026
Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall
Yonggwan Shin, Yire Shin, Jeong-Soo Park
Accurately estimating high quantiles beyond the largest observed value is crucial for risk assessment and devising effective adaptation strategies to prevent a greater disaster. Th…
stat.ME2025
Generalized method of L-moment estimation for stationary and nonstationary extreme value models
Yonggwan Shin, Yire Shin, Jihong Park +1
Precisely estimating out-of-sample upper quantiles is very important in risk assessment and in engineering practice for structural design to prevent a greater disaster. For this pu…
stat.ME2025
Building nonstationary extreme value model using L-moments
Yire Shin, Yonggwan Shin, Jeong-Soo Park
The maximum likelihood estimation for a time-dependent nonstationary (NS) extreme value model is often too sensitive to influential observations, such as large values toward the en…