How to model the parameters of AssymetricLaplace and Pareto distribution

You certainly can do that, but by no means must you do that. Doing that is equivalent to conducting optimization in which you maximize the likelihood of your data. Suggesting that this procedure produces “the correct” answer is simply false. It is arguably a reasonable answer, but it is one of many reasonable answers.

If you are simply looking for the relationship between the asymmetric Laplacian’s parameter values and its moments, you should check the relevant wikipedia page.