Hi,
>
> Can we then agree that the current naming is not really clear?
> Since we are not allowed to readily remove this method, the best solution
> would be to update the Javadoc to make it clear what is done there, i.e.
> cite the full definition of ASE (together with a reference).
>
I would eve
Hi Gilles,
>
> In revision 1330801, I've added a new "CircleProblem" class (in the "test"
> code tree).
> It is largely inspired from the existing "CircleVectorial" class but I think
> that it might be more representative of the kind of problem people are used
> to when dealing with optimizers such
On Wed, Apr 25, 2012 at 05:56:32PM +0200, Sébastien Brisard wrote:
> 2012/4/25 Gilles Sadowski :
> > On Wed, Apr 25, 2012 at 03:46:58PM +0200, Sébastien Brisard wrote:
> >> Hi Gillles,
> >> >
> >> > Can we then agree that the current naming is not really clear?
> >> > Since we are not allowed to re
2012/4/25 Gilles Sadowski :
> On Wed, Apr 25, 2012 at 03:46:58PM +0200, Sébastien Brisard wrote:
>> Hi Gillles,
>> >
>> > Can we then agree that the current naming is not really clear?
>> > Since we are not allowed to readily remove this method, the best solution
>> > would be to update the Javadoc
On Wed, Apr 25, 2012 at 03:46:58PM +0200, Sébastien Brisard wrote:
> Hi Gillles,
> >
> > Can we then agree that the current naming is not really clear?
> > Since we are not allowed to readily remove this method, the best solution
> > would be to update the Javadoc to make it clear what is done ther
Hi Gillles,
>
> Can we then agree that the current naming is not really clear?
> Since we are not allowed to readily remove this method, the best solution
> would be to update the Javadoc to make it clear what is done there, i.e.
> cite the full definition of ASE (together with a reference).
>
this
Hi.
> looking at various references, it seems that the definition of the error as
> errors[i] = FastMath.sqrt(covar[i][i]) * c;
> or
> errors[i] = FastMath.sqrt(covar[i][i]);
> is a matter of convention.
>
> I'm no statistician, but I gathered that the first expression is what
> is called Asympto
Hi,
looking at various references, it seems that the definition of the error as
errors[i] = FastMath.sqrt(covar[i][i]) * c;
or
errors[i] = FastMath.sqrt(covar[i][i]);
is a matter of convention.
I'm no statistician, but I gathered that the first expression is what
is called Asymptotic Standard Erro
I also found this link
mljohnson.pharm.virginia.edu/pdfs/314.pdf
see equations 20 and 3, which suggest c should stay. I must read this
more carefully, though...
Sébastien
Le 24 avril 2012 21:42, Sébastien Brisard a écrit :
> Ooops, I hit the wrong key... So here is the rest of my previous message
Ooops, I hit the wrong key... So here is the rest of my previous message...
Hi Gilles,
>
> Does anyone object to the estimated error be defined as
>
> errors[i] = FastMath.sqrt(covar[i][i]);
>
> ?
>
>
> Best regards,
> Gilles
>
I'm not an expert on parameter estimation, but I'm not sure about the
Hi Gilles,
>
> Does anyone object to the estimated error be defined as
>
> errors[i] = FastMath.sqrt(covar[i][i]);
>
> ?
>
>
> Best regards,
> Gilles
>
I'm not an expert on parameter estimation, but I'm not sure about the
removal of the c prefactor in the above expression. See for example
NR, chap
On Mon, 23 Apr 2012 16:03:07 +0200, Gilles Sadowski wrote:
On Wed, Apr 18, 2012 at 07:23:04PM +0200, Luc Maisonobe wrote:
Le 18/04/2012 14:21, Gilles Sadowski a écrit :
> Hi.
>
> In "AbstractLeastSquaresOptimizer" (package
"optimization.general"), the
> method "guessParametersErrors" is define
On Wed, Apr 18, 2012 at 07:23:04PM +0200, Luc Maisonobe wrote:
> Le 18/04/2012 14:21, Gilles Sadowski a écrit :
> > Hi.
> >
> > In "AbstractLeastSquaresOptimizer" (package "optimization.general"), the
> > method "guessParametersErrors" is defined as:
> > ---CUT---
> > public double[] guessParam
Le 18/04/2012 14:21, Gilles Sadowski a écrit :
> Hi.
>
> In "AbstractLeastSquaresOptimizer" (package "optimization.general"), the
> method "guessParametersErrors" is defined as:
> ---CUT---
> public double[] guessParametersErrors() {
> if (rows <= cols) {
> throw new
> Numbe
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