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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 12
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Original Articles

Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted g priors and reversible jump Markov chain Monte Carlo implementation

Wei LiuDepartment of Mathematics, Harbin Institute of Technology, Harbin150001, People's Republic of ChinaView further author information
,
Bo ZhangDivision of Biostatistics, Office of Surveillance and Biometrics, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD20993, USACorrespondence[email protected]
View further author information
,
Zhiwei ZhangDivision of Biostatistics, Office of Surveillance and Biometrics, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD20993, USAView further author information
,
Jian TaoSchool of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin130024, People's Republic of ChinaView further author information
&
Adam J. BranscumSchool of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR97331, USAView further author information
Pages 2456-2478 | Received 05 Apr 2014, Accepted 02 Jun 2014, Published online: 24 Jun 2014

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