Assessing convergence diagnostic tests for Bayesian Cox regression
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Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The Markov chain Monte Carlo (MCMC) method generates samples from the posterior distribution and uses these samples to approximate expectations of quantities of interest. For the process, researchers have to decide whether the Markov chain has reached the desired posterior distribution. Using convergence diagnostic tests are very important to decide whether the Markov chain has reached the target distribution. Our interest in this study was to compare the performances of convergence diagnostic tests for all parameters of Bayesian Cox regression model with different number of iterations by using a simulation and a real lung cancer dataset.
Açıklama
Anahtar Kelimeler
Bayesian Cox regression, Convergence diagnostic tests, Markov Chain Monte Carlo
Kaynak
Communications in Statistics-Simulation and Computation
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
46
Sayı
4
