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Journal of Applied Statistics|April 7, 2023
Prediction models with graph kernel regularization for network dataJie Liu, Haojie Chen, Yang YangJournal of Applied Statistics|April 7, 2023
Inference for a discretized stochastic logistic differential equation and its application to biological growthF Delgado-Vences, F Baltazar-Larios, A Ornelas Vargas, et al.Journal of Applied Statistics|June 19, 2012
Detecting multiple change points in piecewise constant hazard functionsMelody S Goodman, Yi Li, Ram C TiwariJournal of Applied Statistics|May 17, 2023
Revisiting the analysis pipeline for overdispersed Poisson and binomial dataWoojoo Lee, Jeonghwan Kim, Donghwan LeeJournal of Applied Statistics|March 31, 2015
Simultaneous inference of a misclassified outcome and competing risks failure time dataSheng Luo, Xiao Su, Min Yi, et al.Journal of Applied Statistics|October 11, 2012
A Bayesian Approach for Generalized Linear Models with Explanatory Biomarker Measurement Variables Subject to Detection Limit - an Application to Acute Lung InjuryHuiyun Wu, Qingxia Chen, Lorraine B Ware, et al.Journal of Applied Statistics|November 10, 2022
Parametric inference of the process capability index for exponentiated exponential distributionMahendra Saha, Sanku Dey, Saralees NadarajahJournal of Applied Statistics|November 10, 2022
A new regression model for rates and proportions data with applicationsF Prataviera, G M Cordeiro, E M M Ortega, et al.Journal of Applied Statistics|November 10, 2022
An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot methodDerya Ersel, Yasemin Kayhan AtılganJournal of Applied Statistics|November 10, 2022
A resample-replace lasso procedure for combining high-dimensional markers with limit of detectionJinjuan Wang, Yunpeng Zhao, Larry L Tang, et al.Pageof 123