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Bayesian variable selection and coefficient estimation in heteroscedastic linear regression model

  • Published:2018-02-07 Issue:14 Volume:45 Page:2643-2657
  • ISSN:0266-4763
  • Container-title:Journal of Applied Statistics
  • language:en
  • Short-container-title:Journal of Applied Statistics

Author:

Alshaybawee Taha12,Alhamzawi Rahim2,Midi Habshah1,Allyas Intisar Ibrahim3

Affiliation:

1. Faculty of Science and Institute for Mathematical Research, University Putra, Serdang Selangor, Malaysia

2. Department of Statistics, College of Administration and Economics, University of Al-Qadisiyah, Diwaniyah, Iraq

3. College of Administration and Economics, Nawroz University, Dahuk, Iraq

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel PM2.5 concentrations probability density prediction model combines the least absolute shrinkage and selection operator with quantile regression;Environmental Science and Pollution Research;2022-06-11

2. Bayesian feature interaction selection for factorization machines;Artificial Intelligence;2022-01

3. Feature selection algorithms to reduce processing time in classification with SVMs;2021 XVII International Engineering Congress (CONIIN);2021-06-14

4. An elastic-net penalized expectile regression with applications;Journal of Applied Statistics;2020-06-30

5. Bayesian Personalized Feature Interaction Selection for Factorization Machines;Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval;2019-07-18
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