HIGHLIGHTS
- who: Francisco Juretig from the The Nielsen Company have published the research: MLGA: A SAS Macro to Compute Maximum Likelihood Estimators via Genetic Algorithms, in the Journal: (JOURNAL)
- what: Dorsey and Mayer analyze the advantages of genetic algorithms in terms of econometric models focusing on how local maxima can be avoided.
SUMMARY
Nonlinear regression entails certain additional difficulties compared to linear regression. If the likelihood is almost flat at some areas, traditional derivative-based algorithms may encounter difficulties progressing until a maximum is found. On a different front, if the starting . . .
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