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?
