TY - JOUR JF - JSS JO - JSS VL - 6 IS - 2 PY - 2013 Y1 - 2013/2/01 TI - A Multivariate Bayesian Model for Gene Networks TT - یک الگوی چند متغیری بیزی برای شبکه های ژنی N2 - There are several methods for inference about gene networks, but there are few cases in which the historical information have been considered. In this research we deal with Bayesian inference on gene network. We apply a Bayesian framework to use the available information. Assuming a proper prior distribution and taking the dependency of parameters into account, we seek a model to obtain promising results. We also deal with the hyper parameter estimation. Two methods are considered. The results will be compared by the use of a simulation based on Gibbs sampler. The strengths and weaknesses of each method are briefly mentioned. SP - 187 EP - 200 AU - Safari, Abdollah AU - Sharifi, Ali AU - Pezeshk, Hamid AU - Nickchi, Peyman AU - Marashi, Sayed-Amir AU - Eslahchi, Changiz AD - School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran. KW - Gene network KW - Bayesian inference KW - Covariance matrix KW - Multivariate models KW - Gibbs sampler UR - http://jss.irstat.ir/article-1-174-en.html ER -