Mar 07
Estimator for contrast agents-2 The iterative estimator
As its name implies, the maximum likelihood estimate is the value of the dependent variable that maximizes the likelihood given the measured data. One way to implement it is to use an iterative algorithm, which I discussed here. In this post, I give a detailed a description of the code for an iterative estimator. The implementation is different than the one used in the previous post and is included as AsolveIterFromSpectrum.m in the code package .
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