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Journal of Applied Statistics|December 4, 2024
On efficiency of locally D-optimal designs under heteroscedasticity and non-GaussianityXiao Zhang, Gang ShenJournal of Applied Statistics|January 29, 2024
A Bayesian approach for de-duplication in the presence of relational dataJuan Sosa, Abel RodríguezJournal of Applied Statistics|January 29, 2024
Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approachShengxiao Vincent Feng, Willem van den Boom, Maria De Iorio, et al.Journal of Applied Statistics|March 25, 2024
Alternative statistical modeling for radical prostatectomy dataJulio C S Vasconcelos, Thiago da Costa Travassos, Edwin M M Ortega, et al.Journal of Applied Statistics|March 25, 2024
A new flexible regression model with application to recovery probability Covid-19 patientsF Prataviera, E M Hashimoto, E M M Ortega, et al.Journal of Applied Statistics|March 25, 2024
kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariatesAchmad Choiruddin, Tabita Yuni Susanto, Ahmad Husain, et al.Journal of Applied Statistics|March 25, 2024
Aggregated parameter update schemes for monitoring binary profilesYifan Li, Chunjie Wu, Zhijun Wang, et al.Journal of Applied Statistics|March 13, 2024
A model for bimodal rates and proportionsRoberto Vila, Lucas Alfaia, André F B Menezes, et al.Journal of Applied Statistics|March 13, 2024
Regression models for the full distribution to exceedance dataFernando Ferraz do Nascimento, Aline Raquel Assunção NunesJournal of Applied Statistics|March 13, 2024
Selection of random coefficients in ordered response models: a framework to detect heterogeneity in household surveysPadma SharmaPageof 119