Semiparametric modelling of spatial binary observations
Semiparametric modelling of spatial binary observations
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DOI：
10.1191/1471082x02st023oa
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发表时间：
2002-07-01
影响因子：
1
通讯作者：
Postiglione, Paolo
中科院分区：
文献类型：
--
作者：
Alfo, Marco;Postiglione, Paolo
In the past decade various attempts have been made to extend standard random effects models to the analysis of spatial observations. This extension is a source of theoretical difficulty due to the multidirectional dependence among nearest observations; much of the previous work was based on parametric assumptions about the random effects distribution. To avoid any restriction, we propose a conditional model for spatial binary responses, without assuming a parametric distribution for the random effects. The model parameters are estimated using the EM algorithm for nonparametric maximum likelihood estimation of a mixing distribution. To illustrate the proposed approach, the model is applied to a remote sensed image of the Nebrodi Mountains (Italy).
