Function parametrization: Difference between revisions

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== Alternatives ==
== Alternatives ==


* Bayesian methods, which allow non-Gaussian error distributions.
* Bayesian data analysis <ref>[http://link.aip.org/link/?RSINAK/75/4237/1 R. Fischer, A. Dinklage, ''Integrated data analysis of fusion diagnostics by means of the Bayesian probability theory'', Rev. Sci. Instrum. '''75''' (2004) 4237]</ref>, which allow non-Gaussian error distributions.
* Neural networks.
* Neural networks.


== References ==
== References ==
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