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A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support
Thomas Mejer Hansen, Knud Skou Cordua,
Klaus Mosegaard
Klima- og Geofysik / Climate and Geophysics
2
Citationer (Scopus)
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Keyphrases
Covariance
20%
Crosshole Tomography
20%
Gaussian Model
100%
Inverse Problem
20%
Kriging
20%
Least Squares
20%
Least-squares Collocation
20%
Likelihood Function
40%
Metropolis-Hastings Algorithm
20%
Multiresolution Analysis
20%
Noisy Data
100%
Nonlinear Inverse Problems
20%
Posteriori Probability
20%
Probabilistic Approach
100%
Probability Distribution
20%
Remote Sensing
20%
Sequential Gaussian Simulation
20%
Support Volume
100%
Uncertainty Analysis
20%
Mathematics
Covariance
11%
Data Mimicking
11%
Gaussian Distribution
100%
Kriging
11%
Least Square
22%
Likelihood Function
22%
Linear Inverse Problems
11%
Noisy Data
100%
Nonlinear
11%
Posteriori
11%
Probability Distribution
33%
Probability Theory
11%
Engineering
Gaussian Model
100%
Noisy Data
100%