Jesse Hemerik,Jelle Goeman
Jesse Hemerik
When permutation methods are used in practice, often a limited number of random permutations are used to decrease the computational burden. However, most theoretical literature assumes that the whole permutation group is used, and methods b...
Comments on: Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data [0.03%]
概率增强的有效维度缩减在稀疏功能数据分类中的评论
Chong Zhang,Yufeng Liu
Chong Zhang
Change-point diagnostics in competing risks models: Two posterior predictive p-value approaches [0.03%]
竞争风险模型中的变化点诊断：两种后预测p值方法
Chen-Pin Wang,Malay Ghosh
Chen-Pin Wang
This paper presents a Bayesian diagnostic procedure for examining change-point assumption in the competing risks model framework. It considers the family of distributions arising from the cause-specific model as reported by Chiang (Introduc...
Discussion of "Missing Data Methods in Longitudinal Studies: A Review" by Ibrahim and Molenberghs [0.03%]
对Ibrahim和Molenbergs关于纵向研究中缺失数据处理方法的评论文章
Michael J Daniels,Chenguang Wang
Michael J Daniels
Joseph G Ibrahim,Geert Molenberghs
Joseph G Ibrahim
Incomplete data are quite common in biomedical and other types of research, especially in longitudinal studies. During the last three decades, a vast amount of work has been done in the area. This has led, on the one hand, to a rich taxonom...
Gang Li,Xuyang Lu
Gang Li
Naisyin Wang
Naisyin Wang