Why do we need and how should we implement Bayesian kriging methods

Stochastic Environmental Research and Risk Assessment

Volumn 22, Issue 5, 2008, Pages 621-632

  Pilz, Jürgen ^a   Spöck, Gunter ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

(001) PARAMETER; BAYESIAN; BAYESIAN BOOTSTRAP; BAYESIAN PREDICTION; COVARIANCE FUNCTIONS; DISJUNCTIVE KRIGING; GAUSSIAN; GAUSSIANITY; KRIGING; KRIGING METHODS; LOGNORMAL; MODEL BASED (OPC); PRACTICAL APPLICATIONS; RANDOM FIELD (RF); REAL-TIME MAPPING; SAMPLE DISTRIBUTIONS; SIMULATED DATA; SPATIAL PREDICTION; SPRINGER (CO);

ESTIMATION; FORECASTING; FUNCTIONS; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; SET THEORY; TRELLIS CODES; UNCERTAINTY ANALYSIS;

BAYESIAN NETWORKS;

BAYESIAN ANALYSIS; BOOTSTRAPPING; COVARIANCE ANALYSIS; GAUSSIAN METHOD; KRIGING; PLANNING METHOD; PREDICTION; SPATIAL ANALYSIS; TRANSFORM;

EID: 45749156843     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-007-0165-7     Document Type: Article

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