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Publication search results
found 15 matches
- 2020
- Adel Bedoui, Nicole A. Lazar:
Bayesian empirical likelihood for ridge and lasso regressions. Comput. Stat. Data Anal. 145: 106917 (2020) - Jeffrey Chu, Yuanyuan Zhang, Stephen Chan, Saralees Nadarajah:
Bias reduction in the population size estimation of large data sets. Comput. Stat. Data Anal. 145: 106914 (2020) - Enrico Fabrizi, Nicola Salvati, Carlo Trivisano:
Robust Bayesian small area estimation based on quantile regression. Comput. Stat. Data Anal. 145: 106900 (2020) - Andrew Gehman, William W. S. Wei:
Optimal spatial aggregation of space-time models and applications. Comput. Stat. Data Anal. 145: 106913 (2020) - Kyunghee Han, Young K. Lee, Byeong U. Park:
Smooth backfitting for errors-in-variables varying coefficient regression models. Comput. Stat. Data Anal. 145: 106909 (2020) - Dwueng-Chwuan Jhwueng:
Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: An Approximate Bayesian Computation approach. Comput. Stat. Data Anal. 145: 106924 (2020) - Wei Jiang, Julie Josse, Marc Lavielle, TraumaBase Group:
Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework. Comput. Stat. Data Anal. 145: 106907 (2020) - Nick Kloodt, Natalie Neumeyer:
Specification tests in semiparametric transformation models - A multiplier bootstrap approach. Comput. Stat. Data Anal. 145: 106908 (2020) - Jingjing Li, Zimu Chen, Zhanfeng Wang, Yuan-chin Ivan Chang:
Active learning in multiple-class classification problems via individualized binary models. Comput. Stat. Data Anal. 145: 106911 (2020) - Fangzheng Lin, Yanlin Tang, Zhongyi Zhu:
Weighted quantile regression in varying-coefficient model with longitudinal data. Comput. Stat. Data Anal. 145: 106915 (2020) - Kento Nakamura, Keisuke Yano, Fumiyasu Komaki:
Adjacency-based regularization for partially ranked data with non-ignorable missing. Comput. Stat. Data Anal. 145: 106905 (2020) - Melike Oguz-Alper, Yves G. Berger:
Modelling multilevel data under complex sampling designs: An empirical likelihood approach. Comput. Stat. Data Anal. 145: 106906 (2020) - Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Estimation and inference for area-wise spatial income distributions from grouped data. Comput. Stat. Data Anal. 145: 106904 (2020) - Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski:
Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Comput. Stat. Data Anal. 145: 106916 (2020) - Xiaoke Zhang, Qixian Zhong, Jane-Ling Wang:
A new approach to varying-coefficient additive models with longitudinal covariates. Comput. Stat. Data Anal. 145: 106912 (2020)
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