Bayesian MCMC approach in prognostic modelling of cardiovascular disease in Malaysia: a convergence diagnostic
Most studies that considered the Bayesian Markov Chain Monte Carlo (MCMC) approach in prognostic modelling of cardiovascular disease were only focused on the application of the Bayesian approach in variable selection, model, and prior distribution choice. Yet rarely of these studies have explored th...
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| 主要な著者: | , , , |
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| フォーマット: | Proceedings |
| 言語: | English English |
| 出版事項: |
ResearchGate
2022
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| 主題: | |
| オンライン･アクセス: | https://eprints.ums.edu.my/id/eprint/41298/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41298/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/41298/ https://www.researchgate.net/publication/368498023_Bayesian_MCMC_Approach_in_Prognostic_Modelling_of_Cardiovascular_Disease_in_Malaysia_A_Convergence_Diagnostic |
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https://eprints.ums.edu.my/id/eprint/41298/1/ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/41298/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41298/
https://www.researchgate.net/publication/368498023_Bayesian_MCMC_Approach_in_Prognostic_Modelling_of_Cardiovascular_Disease_in_Malaysia_A_Convergence_Diagnostic