Re: model selection problem
- From: Carsten Steinhoff <carsten.steinhoff@xxxxxxxxxxxxxxxxxxxxxx>
- Date: Thu, 14 Jul 2005 20:36:19 +0200
Carsten,
Log Likelihood incorporates probabilities rather than actual values of x or log(x). Therefore, I cannot see a reason why the Log Likelihood would get smaller or higher just because you take log of x.
HTH, Vadim Pliner
Hi Vadim,
so to sum up your posting ... a higher likelihood-value should indicate a better fit in any way (at least in theory) ?
And an additional question: What I need especially is a good fit in the right tail of the distribution. Are there modifications to likelihood criteria to focus more on tail-exactness?
Carsten .
- Follow-Ups:
- Re: model selection problem
- From: Vadim Pliner
- Re: model selection problem
- References:
- model selection problem
- From: Carsten Steinhoff
- Re: model selection problem
- From: Vadim Pliner
- model selection problem
- Prev by Date: Re: model selection problem
- Next by Date: Re: r-Squared Question
- Previous by thread: Re: model selection problem
- Next by thread: Re: model selection problem
- Index(es):
Relevant Pages
|