Now, what happens if your priors are not Gaussian? Let us just assume for
the moment that we find a sensible way to let the user say something like
"\beta_1 is N(0,1), \beta_2 is a uniform and \beta_3 is, conditionally on
\beta_1 and \beta_2, a gamma with parameters \beta_1^2 and
floor(4*\beta_2+1
On Tue, 29 May 2007, Mariusz Doszyń wrote:
> What do you think about implentation of some (basic at first) Bayesian
> econometric methods in Gretl (for example estimation of linear
> regression models with natural conjugate priors, Gibbs sampling, ect.)?
This sounds intriguing. Can you be more
What do you think about implentation of some (basic at first) Bayesian
econometric methods in Gretl (for example estimation of linear regression
models with natural conjugate priors, Gibbs sampling, ect.)?
Best wishes,
Mariusz Doszń
Poland
What do you think about implentation of some (basic
