0
$\begingroup$

Suppose there is a chi-squared function of several parameters, f(x,y,z), and I have to fit one parameter, say "x", while the rest "y" and "z" have to be dealt with in a reasonable way. As I have seen there are two methods commonly used: Minimization and Marginalization

Could anyone please explain the difference between the two: Minimization over "y" and "z" versus Marginalization over "y" and "Z" and what is that difference in Mathematica?

$\endgroup$

0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.