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- W748022904 abstract "This paper considers a linear regression model with censored data where each error term follows a multivariate normal distribution. In this paper we consider the diffuse prior distribution for parameters of the linear regression model. With censored data we derive the full conditional densities for parameters of a multiple regression model in order to obtain the marginal posterior densities of the relevant parameters through the Gibbs Sampler, which was proposed by Geman and Geman(1984) and utilized by Gelfand and Smith(1990) with statistical viewpoint." @default.
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- W748022904 date "1998-01-01" @default.
- W748022904 modified "2023-09-24" @default.
- W748022904 title "Bayesian Estimation for the Multiple Regression with Censored Data : Mutivariate Normal Error Terms" @default.
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