[ADMB Users] comparing highly parameterized models

[Ian Taylor - NOAA Federal]

Credit where credit is due: it was Ian Stewart, not me, who developed the
approach and responded to the previous emails.
-Ian


On Fri, May 3, 2013 at 5:04 AM, Fowler, Mark <Mark.Fowler at dfo-mpo.gc.ca>wrote:

> Thanks, John, I've got it. Slight misunderstanding, my subject header
> was inadequate. I'm okay for comparing models where the number of
> parameters are easily determined. My question concerned determination of
> the number of 'real' parameters represented by deviation parameters. Ian
> Taylor developed an approach to approximate the number of parameters for
> comparing Stock Synthesis models (the excerpt in my email), and I was
> asking for details on how a couple of scalars used by Ian were derived.
> Both Ian and Steve Martell responded, giving me a handle on them. I'll
> need to compute DIC's to estimate the effective number of parameters.
>
> >       Mark Fowler
>                 Population Ecology Division
> >       Bedford Inst of Oceanography
> >       Dept Fisheries & Oceans
> >       Dartmouth NS Canada
>                 B2Y 4A2
>                 Tel. (902) 426-3529
>                 Fax (902) 426-9710
>                 Email Mark.Fowler at dfo-mpo.gc.ca
>                 Home Tel. (902) 461-0708
>                 Home Email mark.fowler at ns.sympatico.ca
>
>
> -----Original Message-----
> From: users-bounces at admb-project.org
> [mailto:users-bounces at admb-project.org] On Behalf Of John Sibert
> Sent: May 2, 2013 4:03 PM
> To: users at admb-project.org
> Subject: Re: [ADMB Users] comparing highly parameterized models
>
> A less garbled link perhaps
> http://www.soest.hawaii.edu/PFRP/reprints/multifan.pdf
>
> John Sibert
> Emeritus Researcher, SOEST
> University of Hawaii at Manoa
> Honolulu HI (GMT-10)
> 808-294-3842
>
> Visit the ADMB project http://admb-project.org/
>
> On 05/02/2013 08:15 AM, dave fournier wrote:
> >
> > This is far too  long to read, but we approached model selection in
> > the multifan cl model using approximate Bayes factors whihc enabled us
>
> > to copmoare non nested models.
> >
> > This link might have survived being copied.
> >
> >
> >
> > http://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&cad=rja&
> > sqi=2&ved=0CEAQFjAD&url=http%3A%2F%2Fwww.soest.hawaii.edu%2Fpfrp%2Frep
> > rints%2Fmultifan.pdf&ei=lKyCUc-lMYPHiwKk_YDQDA&usg=AFQjCNEW-tR28NpujfA
> > kDNC5BDVIumdQhA&sig2=49idpQ7NXkxhrLbIYcULfg&bvm=bv.45960087,d.cGE
> >
> > _______________________________________________
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> > Users at admb-project.org
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> >
>
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