Approximation of the likelihood function in the Bayesian technique for the solution of inverse problems

Inverse Problems in Science and Engineering

Volumn 16, Issue 6, 2008, Pages 677-692

  Orlande, Helcio R B ^a   Colaço, Marcelo J ^b   Dulikravich, George S ^c  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b MILITARY INSTITUTE OF ENGINEERING   (Brazil)

^c The Department of Electrical and Computer Engineering   (United States)

Author keywords

Bayesian technique; Inverse problems; Response surfaces

Indexed keywords

BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; ESTIMATION; FEEDFORWARD NEURAL NETWORKS; INTERPOLATION; MANAGEMENT SCIENCE; MARKOV PROCESSES; MASS TRANSFER; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; RANDOM PROCESSES; TRANSFER FUNCTIONS; UNCERTAIN SYSTEMS;

BAYESIAN TECHNIQUE; BAYESIAN TECHNIQUES; COMPUTATIONAL COSTS; DESIGN AND OPTIMIZATION; ESTIMATED PARAMETERS; ESTIMATION PROBLEMS; FLORIDA , USA; HEAT AND MASS TRANSFER; LIKELIHOOD FUNCTIONS; LOSS OF ACCURACY; MARKOV CHAIN MONTE CARLO METHODS; METROPOLIS-HASTINGS ALGORITHM; RADIAL-BASIS FUNCTIONS; RESPONSE SURFACES; SOLUTION OF INVERSE PROBLEMS; TEST CASES;

INVERSE PROBLEMS;

EID: 52149096473     PISSN: 17415977     EISSN: 17415985     Source Type: Journal    
DOI: 10.1080/17415970802231677     Document Type: Conference Paper

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