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Journal of Applied Statistics|June 16, 2022
A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncologyB Bastien, T Boukhobza, H Dumond, et al.Journal of Applied Statistics|June 16, 2022
Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor modelMan-Suk Oh, Chee Kyung ParkJournal of Applied Statistics|June 16, 2022
Nonparametric tests for stratified additive hazards model based on current status dataXiaodong Fan, Shi-Shun Zhao, Qingchun Zhang, et al.Journal of Applied Statistics|June 16, 2022
Measuring sport performances under pressure by classification trees with application to basketball shootingRodolfo Metulini, Mael Le CarreJournal of Applied Statistics|June 16, 2022
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysisE M Hashimoto, E M M Ortega, G M Cordeiro, et al.Journal of Applied Statistics|June 16, 2022
Type-I intermittency from Markov binary block visibility graph perspectivePejman Bordbar, Sodeif AhadpourJournal of Applied Statistics|June 16, 2022
Forecasting interest rate volatility of the United Kingdom: evidence from over 150 years of dataHossein Hassani, Mohammad Reza Yeganegi, Juncal Cuñado, et al.Journal of Applied Statistics|June 16, 2022
Sparse graphical models via calibrated concave convex procedure with application to fMRI dataSungtaek Son, Cheolwoo Park, Yongho JeonJournal of Applied Statistics|June 16, 2022
TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse frameworkJinyu Li, Yutong Lai, Chi Zhang, et al.Journal of Applied Statistics|June 16, 2022
A closed testing procedure for comparison between successive variancesNavdeep Singh, Parminder SinghPageof 123