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Journal of Applied Statistics|April 30, 2025
A robust distance-based approach for detecting multidimensional outliersR Lakshmi, T A Sajesh
Journal of Applied Statistics|April 29, 2025
Graphical representation of survival curves in the presence of time-dependent categorical covariates with application to liver transplantationAbigail R Smith, Nathan P Goodrich, Charlotte A Beil, et al.
Journal of Applied Statistics|March 31, 2025
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lassoJyrki Möttönen, Tero Lähderanta, Janne Salonen, et al.
Journal of Applied Statistics|March 31, 2025
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemicWei Zhang, Antonietta Mira, Ernst C Wit
Journal of Applied Statistics|March 31, 2025
A novel ranked k-nearest neighbors algorithm for missing data imputationYasir Khan, Said Farooq Shah, Syed Muhammad Asim
Journal of Applied Statistics|June 2, 2025
An optimal subsampling design for large-scale Cox model with censored dataShiqi Liu, Zilong Xie, Ming Zheng, et al.
Journal of Applied Statistics|February 6, 2026
Robust Bayesian model averaging for linear regression models with heavy-tailed errorsShamriddha De, Joyee Ghosh
Journal of Applied Statistics|February 20, 2018
Beta approximation of ratio distribution and its application to next generation sequencing read countsShengping Yang, Zhide Fang
Journal of Applied Statistics|January 26, 2023
A novel group VIF regression for group variable selection with application to multiple change-point detectionHao Ding, Yan Zhang, Yuehua Wu
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