文章基本信息

标题：Bayesian Estimation of A Distance Functional Weight Matrix Model
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作者：Kazuhiko Kakamu
期刊名称：Economics Bulletin
电子版ISSN：1545-2921
出版年度：2005
卷号：3
出版社：Economics Bulletin
摘要：This paper considers the distance functional weight matrix in spatial autoregressive and spatial error models from a Bayesian point of view. We considered the Markov chain Monte Carlo methods to estimate the parameters of the models. Our approach is illustrated with simulated data set.
关键词：Distance functional Weight matrix