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Journal of Applied Statistics|February 23, 2023
Model-assisted estimation in high-dimensional settings for survey dataMehdi Dagdoug, Camelia Goga, David HazizaJournal of Applied Statistics|February 23, 2023
Noise-insensitive discriminative subspace fuzzy clusteringXiaobin Zhi, Tongjun Yu, Longtao Bi, et al.Journal of Applied Statistics|February 23, 2023
Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysisXiaotong Liu, Guoliang Tian, Zhenqiu LiuJournal of Applied Statistics|February 23, 2023
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networksFang Fan, Shu-Chuan Chu, Jeng-Shyang Pan, et al.Journal of Applied Statistics|February 23, 2023
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRIJin Jin, Lin Zhang, Ethan Leng, et al.Journal of Applied Statistics|March 5, 2025
Bayesian inference for Laplace distribution based on complete and censored samples with illustrationsWanyue Sun, Xiaojun Zhu, Zhehao Zhang, et al.Journal of Applied Statistics|February 14, 2025
Performance of tests based on the area under the ROC curve for multireader diagnostic dataYi-Ting Hwang, Ya-Ru Hsu, Nan-Cheng SuJournal of Applied Statistics|February 10, 2025
Time of week intensity estimation from partly interval censored data with applications to police patrol planningJiahao Tian, Michael D PorterJournal of Applied Statistics|November 7, 2024
Bayesian factor selection in a hybrid approach to confirmatory factor analysisJunyu Nie, Jihnhee YuJournal of Applied Statistics|November 8, 2024
Functional sufficient dimension reduction through information maximization with application to classificationXinyu Li, Jianjun Xu, Haoyang ChengPageof 119