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03- Journal of Statistics Applications & Probability
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Vol. 11 > No. 1

 
   

Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries

PP: 181-193
Author(s)
Richa Srivastava, Rakesh Ranjan, Himanshu Misra,
Abstract
The paper proposes statistical model and complete Bayesian inference for cancer survival data of two countries. Complete posterior analysis is done by generating random samples from posterior surface. Gibbs sampler, Markov chain Monte Carlo (MCMC)method has been used, for generating samples from posterior distribution. The paper also provides algorithm for Gibbs sampler generation scheme for proposed model parameters as well its density estimation. Model compatibility and inter model comparisons, using the measures of Bayesian information criterion (BIC) and deviance information criterion (DIC) has been used.

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