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Optimal design for parameter estimation in EEG problems in a 3D multilayered domain
2015
Mathematical Biosciences and Engineering
The fundamental problem of collecting data in the "best way" in order to assure statistically efficient estimation of parameters is known as Optimal Experimental Design. Many inverse problems consist in selecting best parameter values of a given mathematical model based on fits to measured data. These are usually formulated as optimization problems and the accuracy of their solutions depends not only on the chosen optimization scheme but also on the given data. We consider an electromagnetic
doi:10.3934/mbe.2015.12.739
pmid:25974344
fatcat:2ytzjxkqgzgvdisnl75ztj65je