Estimating the probability density function using empirical moments is quite popular. Is there any advantage to using a different polynomial basis than the usual $1$,$x$, $x^2$ ... etc? For the moment I am interested in distributions on $\mathbb{R}+$.

If there are any advantage, are they used in practice ?