Setting a Uniform Prior

Estimation ML/Bayesian estimation
1

Hi,

I have a question about setting the unform prior for a parameter. If the value of a parameter XYZ \in [0,1], can I set the prior as follows:

XYZ,   0.80, 0.2, 0.99999,	uniform_pdf, 1,	0.20;

where 0.8 is initial value, 0.2 is prior mean and 0.999 is standard deviation? However, the prior plot of the above is cenetred at 1.

If I set the prior as:

XYZ, uniform_pdf,   , ,   0, 1;

I get the prior plot centred at 0.5.

Could you please suggest the best way to set a uniform prior?

Thank you!

2

No, in

the 0.2 is the lower bound for prior truncation, and the 1 is the upper bound. The 1 is the prior mean and 0.2 is the standard deviation. Therefore,

is the best way as it allows to only set the lower and upper bound of the distribution.

3

Thank you!