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Journal of Applied Statistics|July 31, 2026
New alpha power unit distribution: properties and applicationAbdus Saboor, Farrukh Jamal, Arshid Khan, et al.Journal of Applied Statistics|July 31, 2026
An integrated distribution-free approach to monitor multiple process aspects with application in delivery time managementAmitava Mukherjee, Hidetoshi MurakamiJournal of Applied Statistics|September 9, 2026
Population-average and subject-specific approaches for the analysis of misclassified correlated binary outcomes with internal validationHung-Mo Lin, Li Tang, Robert H Lyles, et al.Journal of Applied Statistics|September 9, 2026
Robust diagnostic detection of the horizontal pleiotropy on correlated variants in summary data Mendelian randomizationLi-Chu ChienJournal of Applied Statistics|September 9, 2026
A composite likelihood approach to gaussian network differentiation with application to epigeneticsJames O Adefisoye, S Hasan Arshad, Hongmei ZhangJournal of Applied Statistics|September 30, 2026
A data-driven single substitution to overcome bias from conventional single substitution for LOD missingness in covariates in least squares regressionRuofei Du, Xinmin Chu, Jing Jin, et al.Journal of Applied Statistics|October 6, 2026
A new causal rule learning approach to interpretable estimation of heterogeneous treatment effectYing Wu, Hanzhong Liu, Kai Ren, et al.Journal of Applied Statistics|October 6, 2026
Recovering house price trajectories from sparse transaction data using functional principal component analysisXiaolei Wang, Naiming Xie, Jiguo CaoJournal of Applied Statistics|October 22, 2019
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image ClassificationCheng Ju, Aurélien Bibaut, Mark van der LaanJournal of Applied Statistics|January 30, 2018
A Bayesian finite mixture change-point model for assessing the risk of novice teenage driversQing Li, Feng Guo, Inyoung Kim, et al.Pageof 123