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Journal of Applied Statistics|February 9, 2013
Bayesian semi-parametric analysis of Poisson change-point regression models: application to policy making in Cali, ColombiaTaeyoung Park, Robert T Krafty, Alvaro I SánchezJournal of Applied Statistics|May 1, 2012
Mixed-Poisson Point Process with Partially-Observed Covariates: Ecological Momentary Assessment of SmokingBenjamin Neustifter, Stephen L Rathbun, Saul ShiffmanJournal of Applied Statistics|June 9, 2012
Screening for prostate cancer using multivariate mixed-effects modelsChristopher H Morrell, Larry J Brant, Shan Sheng, et al.Journal of Applied Statistics|June 4, 2026
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performanceHong-Ji Yang, Chung-I LiJournal of Applied Statistics|June 11, 2026
Inference for dependent competing risks model under m-cycle minimum ranked set samplingJiaxin Zhang, Wenhao GuiJournal of Applied Statistics|June 1, 2023
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populationsBrian Neelon, Chun-Che Wen, Sara E Benjamin-NeelonJournal of Applied Statistics|June 1, 2023
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19Wantanee PoonvoralakJournal of Applied Statistics|June 1, 2023
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordanceJing Kersey, Hani Samawi, Jingjing Yin, et al.Journal of Applied Statistics|June 1, 2023
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, BrazilE M Hashimoto, E M M Ortega, G M Cordeiro, et al.Journal of Applied Statistics|June 4, 2026
A nonparametric clustering stopping rule based on spatial medianHend Gabr, Brian H Willis, Mohammed BaragillyPageof 123