Bayesian Prediction of Transformed Gaussian Random Fields

A model for prediction in some types of non-Gaussian random fields is presented. It extends the work of Handcock and Stein to prediction in transformed Gaussian random fields, where the transformation is known to belong to a parametric family of monotone transformations. The Bayesian transformed Gau...

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Veröffentlicht in:	Journal of the American Statistical Association 1997-12, Vol.92 (440), p.1422-1433
Hauptverfasser:	De Oliveira, Victor, Kedem, Benjamin, Short, David A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian method Box-Cox family Correlations Cross-validation Datasets Decision theory Estimation Exact sciences and technology Family of transformations Forecasts Kriging Mathematical foundations Mathematical models Mathematics Modeling Monte Carlo integration Monte Carlo simulation Musical intervals Parametric models Predictive modeling Probability and statistics Rain Rainfall Sampling distributions Sciences and techniques of general use Spatial models Spatial prediction Statistical analysis Statistics Theory and Methods Uncertainty
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