WinBugs Conditional Formulation
- From: "Jean" <WanderingAengus@xxxxxxxxxxx>
- Date: 16 Mar 2007 07:27:55 -0700
I realize that this should be probably be an easy question, but I'm
drawing a mental block. Any suggestions on the following problem
would be appreciated.
Problem: I have a large simulation program that, given a set of fixed
input conditions, provides a random response D.
The general problem is structured: P(D|a,g,h) P(g) P(h) P(a | b) P(b|
c) P( c) . G, H, C are random variables with random statistical
charateristics, e.g. mean and variance are random variables. Once C is
sampled, I know P(b|c) and P(a|b) [fixed probabilities]. One goal of
the analysis is to characterize the CDF of P(D| c) .
It seems to me that this should be relatively easy to setup in
Winbugs, but I seem to be making it more complicated than it should
be. Can I treat the parameters P(a | b) and P(b|c) as just weights?
Any suggestions on a WinBugs formulation would be very welcome.
Jean
.
- Follow-Ups:
- Re: WinBugs Conditional Formulation
- From: Anon.
- Re: WinBugs Conditional Formulation
- Prev by Date: Re: Expectation of an expectation
- Next by Date: Re: Probability problem
- Previous by thread: Expectation of an expectation
- Next by thread: Re: WinBugs Conditional Formulation
- Index(es):
Relevant Pages
|
