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Journal of Applied Statistics|August 2, 2023
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairingGuannan Wang, Zhiling Gu, Xinyi Li, et al.Journal of Applied Statistics|August 9, 2023
Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenariosClaire Donnat, Susan HolmesJournal of Applied Statistics|June 28, 2023
On detecting the effect of exposure mixtureXinhua Liu, Zhezhen JinJournal of Applied Statistics|June 1, 2023
A statistical testing procedure for validating class labelsMelissa C Key, Susanne Ragg, Benzion BoukaiJournal of Applied Statistics|October 9, 2023
Hot-spots detection in count data by Poisson assisted smooth sparse tensor decompositionYujie Zhao, Xiaoming Huo, Yajun MeiJournal of Applied Statistics|September 18, 2023
Bayesian heterogeneity in a meta-analysis with two studies and binary dataM Martel, M A Negrín, F J Vázquez-PoloJournal of Applied Statistics|September 18, 2023
Forward variable selection for random forest modelsJasper Velthoen, Juan-Juan Cai, Geurt JongbloedJournal of Applied Statistics|March 5, 2026
Influence networks: Bayesian modeling and diffusionSamuel Sánchez-Gutiérrez, Juan Sosa, Carolina LuqueJournal of Applied Statistics|March 5, 2026
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit intervalIndranil GhoshJournal of Applied Statistics|March 16, 2026
Discriminant analysis for a folded Watson distributionAdelaide Figueiredo, Fernanda FigueiredoPageof 123