Hi everyone, I have a question that I can’t seem to easily answer.
Once I get the full posterior distribution of a parameter, let’s say \beta_1, during inference.
How do I get the density of the parameter being over 1, 2, 3 or some value ?
How do I easily tell and show that 20% of the prob. density is under 0.5 or over 1.3 for example?