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Re: st: how to reduce running time and data size
From
Randall Lewis <[email protected]>
To
[email protected]
Subject
Re: st: how to reduce running time and data size
Date
Sat, 24 Apr 2010 04:07:56 -0700 (PDT)
Discretizing the support and using fweights might speed up the process. (Obviously, you'll just have to create a new weighting vector--if you can reduce the 10,000 obs down to a few hundred, you'll speed it up by quite a bit.) But not knowing exactly what your simulation is for, this might be impossible or nonsensical.
--Randall
----- Original Message -----
From: "Abdel Rahmen El Lahga" <[email protected]>
To: [email protected]
Sent: Friday, April 23, 2010 1:34:17 PM GMT -08:00 US/Canada Pacific
Subject: Re: st: how to reduce running time and data size
Also it seems that your sample size is excessivly large (10000). For a
monte carlo study I think that you will be ok with 3000 or even 2000
observation
HTH
AbdelRahmen
2010/4/23 Maarten buis <[email protected]>:
> --- On Fri, 23/4/10, sun samn wrote:
>> I am running simulation about a GMM in MATA; the
>> matrices are only involved Within MATA. My sample size is
>> 10000 and simulate for 1000 times, which makes the running
>> like forever. Plus, it seems like the memory is not big
>> enough, Is there any way I can do to improve this situation?
>
> The simple answer is use fewer observations or fewer iterations.
> More specific advise is hard to give, as we haven't seen your
> code. The are some general comments possible. You could try
> adding starting values if you have good ones, as is often the
> case in a simulation study. You could specify the
> -derivative()- option, but that can mean a lot time spent on
> programming and debugging, so if the time gain you receive from
> the faster program will outweight the time lost programming is
> an open quesiton.
>
> -- Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
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>
--
AbdelRahmen El Lahga
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