Roughly speaking, the methods of power-spectra estimation can be divided in two categories : parametric and non-parametric.
From what I understood, parametric methods assumes that the signal can be more or less modeled (with an AR model, or a behavior + noise model etc..) and try to use this to perform the estimation.
I have noticed that when I use parametric methods, the result I obtain usually looks "nicer" that if I use a non-parametric method, let's say Welch. The thing is, I don't know anything about my signal and do not know if it can be modelized and if it therefore makes sense to trust parametric methods.
This is where my question comes in : What are the know "problems" which are associated with parametric methods ? Can we trust a spectrogram obtained this way even though the signal can't be modelized or doesn't fit the correct framework of the used method ?