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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| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
ResearchGate
2022
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| Subjects: | |
| Online Access: | 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