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Journal of Applied Statistics|June 16, 2022
Likelihood-based quantile autoregressive distributed lag models and its applicationsYuzhu Tian, Liyong Wang, Manlai Tang, et al.Journal of Applied Statistics|June 16, 2022
Bayesian hierarchical models for the prediction of volleyball resultsAndrea GabrioJournal of Applied Statistics|June 16, 2022
Variable selection in finite mixture of regression models using the skew-normal distributionJunhui Yin, Liucang Wu, Lin DaiJournal of Applied Statistics|June 16, 2022
The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality dataJ C S Vasconcelos, G M Cordeiro, E M M OrtegaJournal of Applied Statistics|June 16, 2022
Combination of multiple functional markers to improve diagnostic accuracyHaiqiang Ma, Jin Yang, Sheng Xu, et al.Journal of Applied Statistics|June 16, 2022
Scalable module detection for attributed networks with applications to breast cancerHan Yu, Rachael Hageman BlairJournal of Applied Statistics|June 16, 2022
A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in TurkeyHande Konşuk Ünlü, Derek S Young, Ayten Yiğiter, et al.Journal of Applied Statistics|June 16, 2022
Statistical modeling of computer malware propagation dynamics in cyberspaceZijian Fang, Peng Zhao, Maochao Xu, et al.Journal of Applied Statistics|June 16, 2022
A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake dataGeorge O Agogo, Alexander K MuokaJournal of Applied Statistics|June 16, 2022
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