INLA help
unread,May 22, 2017, 3:35:55 AM5/22/17Sign in to reply to author
Sign in to forward
You do not have permission to delete messages in this group
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to nsyafia...@gmail.com, R-inla discussion group, Andrea Ingeborg Riebler, Elias T. Krainski
as far as I recall, this model involves a lot of constraints, and these
are costly when they are more than a few, its O(n*k^2) where k
=#constraints.
an alternative take on the problem, is to make sure that the problem is
proper, and then simply ignore the constraints, but then define 'linear
combinations' to extract the 'correct results'. this is like
a + b_i
where we want to have \sum_i b_i = 0.
run without that constraints, then the estimates of a and b are just
nonsense, since their marginal variance will be huge due to confounding
of a constant. then you 'extract' the posterior of
b_i - \sum_j b_j
which will then be the same, or almost the same [you can adjust the
normalizing constant], but this is in the details... [and does not
really matter]
Andrea.R & Elias.K have done some work in this direction, and I think
for this model. They are cc'ed in this email. You could contact them
for more info.
Best
H
--
Håvard Rue
he...@r-inla.org