Bayesian Transformed Gaussian Random Field : A Review
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概要
- 論文の詳細を見る
We provide a review of the Bayesian transformed Gaussian random field model which can be used for the analysis of continuous geostatistical data that display non-Gaussian features. We describe the formulation of the model and its main properties, as well as Bayesian inference and prediction using Monte Carlo methods. The publicly available software btg for the implementation of the model is illustrated by means of spatial and temporal data.
- 応用統計学会の論文
- 2003-03-25
著者
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De Oliveira
Universidade Federal Da Bahia Instituto De Biologia Departamento De Biologia Geral
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Kedem Benjamin
University Of Maryland
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De Oliveira
University Of Arkansas Fayetteville
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FOKIANOS Konstantinos
University of Cyprus
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Oliveira Victor
University of Arkansas, Fayetteville
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