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Journal of Applied Statistics|November 16, 2023
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studiesSoyun Park, Jihnhee Yu, Hwa-Hyoung Woo, et al.Journal of Applied Statistics|January 17, 2024
On parameter estimation of the standard omega distributionİsmet Birbiçer, Ali I GençJournal of Applied Statistics|January 5, 2024
A Markov random field model with cumulative logistic functions for spatially dependent ordinal dataRyan H L Ip, K Y K WuJournal of Applied Statistics|January 5, 2024
Model averaging estimation of panel data models with many instruments and boostingHao Hao, Bai Huang, Tae-Hwy LeeJournal of Applied Statistics|March 25, 2024
Bayesian adaptive selection of basis functions for functional data representationPedro Henrique T O Sousa, Camila P E de Souza, Ronaldo DiasJournal of Applied Statistics|March 13, 2024
A stochastic model for NFL games and point spread assessmentMuhammad Mohsin, Albrecht GebhardtJournal of Applied Statistics|February 28, 2024
Bootstrap-adjusted quasi-likelihood information criteria for mixed model selectionWentao Ge, Junfeng ShangJournal of Applied Statistics|February 28, 2024
The heterogeneity effect of surveillance intervals on progression free survivalZihang Zhong, Min Yang, Senmiao Ni, et al.Journal of Applied Statistics|July 22, 2024
Testing serial correlation in a general <i>d</i>-factor model with possible infinite varianceYawen Fan, Xiaohui Liu, Ting Luo, et al.Journal of Applied Statistics|August 19, 2024
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial marketsMatthieu Garcin, Jules Klein, Sana LaaribiPageof 119