I noticed that one can constraint parameters in LMFIT using min, max, and /or use an expression. I was wondering if there is a way I could use an expression to constrain a parameter to follow a normal distribution defined by a mean and standard deviation. For example, one of my parameters lies between -3000 and 5000, if I specify these as minimum and maximum value, the optimizer considers them as equally likely (uniform) but instead I want it to consider values far from the mean less likely (i.e normal). Thank you.