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Re: st: RE: difficult ML program


From   "Lenny Stoeldraijer" <[email protected]>
To   [email protected]
Subject   Re: st: RE: difficult ML program
Date   Tue, 4 Mar 2008 22:01:51 +0100

Hi Maarten,

But how can I do that if the coefficient is multiplied by different
covariates? Then I have a problem in defining the 'ml model lf
myml'-part.

[I saw the redundancy too: it had something to do with how the ml
function looked. But that would not give a problem, doesn't it?]

Best,

Lenny

2008/3/4, Maarten buis <[email protected]>:
> generally, if you want to use the same parameter twice in a likelihood
> function, than just do exactly that, i.e. use `theta1' both times and
> remove `theta2' from the -args- command.
>
> also there is some redundancy:
>
> qui gen double `ua' = exp(...)
> qui replace `lnf' = log(`ua')
>
> can be replaced by:
>
> qui replace `lnf' = ...
>
> -- Maarten
>
> --- Nick Cox <[email protected]> wrote:
>
> > My guess is that you need to hide less and show and explain more.
> >
> > If you -set trace on- where does the program crash?
> >
> > The error code you cite, 111, is invalid syntax, which by itself is
> > not helpful.
> >
> > replace`lnf' = log(`ua')
> >
> > would very probably not work. There needs to be a space after
> > -replace-.
> >
> >
> > Nick
> > [email protected]
> >
> > Lenny Stoeldraijer
> >
> > I'm trying to make my own maximum likelihood model, but I can't get
> > it
> > right. The first part looks okay (I think), but then I have to define
> > the function which is called ua, which looks like:
> > exp(uncc*(b+hazu)-exp(b)*survu), where b is the coefficient to be
> > estimated. This coefficient is thus used twice but once with an
> > exponential. So far, my code looks like this (I've left some parts
> > out):
> >
> > program define myml
> > args lnf covu lu0 lu1 lu2 ... theta1 theta2
> > tempvar hazu survu ua
> > quietly gen double `hazu' = `covu'+`lu0'+dtu1*`lu1'+dtu2*`lu2'+...
> > quietly gen double `survu' =
> > exp(`covu'+`lu0')*(btu0+btu1*exp(`lu1')+btu2*exp(`lu2')+...
> > quietly gen double `ua' = exp(`theta1'+uncc*`hazu'-`theta2')
> > replace`lnf' = log(`ua')
> > end
> > ml model lf myml (covu: ... , nocons) (luo: ... , nocons) (lu1:...)
> > (lu2:...) ... (theta1: uncc) (theta2: `survu'), technique(bhhh)
> >
> > In the code I thus have different estimates for the b (once in theta1
> > and once in theta2). I've tried to include a constraint (e.g.
> > b1=log(b2)), but then I get errors (111 for example).
> >
> >
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/support/faqs/res/findit.html
> > *   http://www.stata.com/support/statalist/faq
> > *   http://www.ats.ucla.edu/stat/stata/
> >
>
>
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
>
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room Z434
>
> +31 20 5986715
>
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
>
>
>      __________________________________________________________
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> *
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>
*
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