This paper reviews the general Bayesian approach to parameter estimation in stochastic volatility models with posterior computations performed by Gibbs sampling. The main purpose is to illustrate the ...
In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...
Correspondence to Dr Ada Tang, School of Rehabilitation Sciences, McMaster University Faculty of Health Sciences, Hamilton, Canada; atang{at}mcmaster.ca Objective To determine the superiority of ...
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