Fixed or constrained weights in mixture models

I’m currently playing around with mixture models, using a Dirichlet distribution for the weights of the mixture components. Is there a way to put priors on those weights or to limit the range for the individual weights to some parameter space?

Any help is much appreciated.

Hello @Ultraslan82 !
as far as my knowledge goes we cant put an upper limit to priors in a Dirichlet distribution however if you find a solution to that do let me know too