An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method

Inverse Problems

Volumn 25, Issue 3, 2009, Pages

  Ma, Xiang ^a   Zabaras, Nicholas ^a  

^a School of Operations Research and Industrial Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN FORMULATION; BAYESIAN INFERENCE; COLLOCATION METHOD; FLOWTHROUGH; FORWARD MODELS; FORWARD PROBLEM; HIERARCHICAL BAYESIAN; INTERPOLANTS; MARKOV CHAIN MONTE CARLO ALGORITHMS; MARKOV RANDOM FIELDS; NEW APPROACHES; NON-LINEAR INVERSE PROBLEM; PERMEABILITY ESTIMATION; POROUS MEDIA; POSTERIOR DISTRIBUTIONS; POSTERIOR PROBABILITY; PROBABILISTIC DISTRIBUTION; SOURCE INVERSION; SPARSE GRID; SPATIAL MODELS; STATE SPACE; STOCHASTIC SOLUTION; SURROGATE MODEL; UNKNOWN PARAMETERS; VARIABILITY/UNCERTAINTY;

BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; INFERENCE ENGINES; MARKOV PROCESSES; POROUS MATERIALS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM VARIABLES; STOCHASTIC MODELS;

INVERSE PROBLEMS;

EID: 70350312657     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/25/3/035013     Document Type: Article

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