_EdoML is used to skip one of the steps in EI runs. Its helpful for
things like running Monte Carlo experiments, not really for applications.
so I'd stick with _Erho and _Esigma, along with _Ealpha.
Gary
: Gary King, King(a)Harvard.Edu
http://GKing.Harvard.Edu :
: Center for Basic Research Direct (617) 495-2027 :
: in the Social Sciences Assistant (617) 495-9271 :
: 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 :
: Harvard U, Cambridge, MA 02138 eFax (928) 832-7022 :
On Tue, 5 Nov 2002, Linda Moore wrote:
Further to my previous post re priors, I wonder if any
one has further
advice on setting priors, specifically the priors on phi. King
pp.136-139/_EdoML etc
I have used reported values for phi from a default run, but have not
found that this improves my estimates.
I am also uncertain as to how _Erho and _Esigma differ from the values
for variance and rho in _EdoML.
Any advice or tips would be much appreciated.
Linda
Linda Moore
Graduate Student
University of Canterbury
Christchurch
New Zealand
lmm72(a)student.canterbury.ac.nz
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