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stat.ME2022
Testing Independence of Bivariate Censored Data using Random Walk on Restricted Permutation Graph
Seonghun Cho, Donghyeon Yu, Johan Lim
In this paper, we propose a procedure to test the independence of bivariate censored data, which is generic and applicable to any censoring types in the literature. To test the hyp…
stat.ME2017★ 1 cited
Regression with Partially Observed Ranks on a Covariate: Distribution-Guided Scores for Ranks
Yuneung Kim, Johan Lim, Young-Geun Choi +2
This work is motivated by a hand-collected data set from one of the largest Internet portals in Korea. This data set records the top 30 most frequently discussed stocks on its on-l…
stat.ME2016★ 1 cited
Empirical Null Estimation using Discrete Mixture Distributions and its Application to Protein Domain Data
Iris Ivy Gauran, Junyong Park, Johan Lim +5
In recent mutation studies, analyses based on protein domain positions are gaining popularity over gene-centric approaches since the latter have limitations in considering the func…