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Re: [sdpd] Re: Restrained SDPD future
This is funny, indeed :-)
One of real problems of statistics is its inability to estimate accurate
variances. So that my questions is how can you know your variances are
under- or overestimated ? I am sure that nobody can.
lubo
On Fri, 23 Aug 2013, Leonid Solovyov wrote:
>> How does your method compare to the bootstrap approach?
>
> It's difficult to compare since there are so many variants of the bootstrap procedure. A friend of mine tried the bootstrap routine from Topas and found that it strongly underestimated the uncertainties.
>
>
> *******************************************************
> Leonid A. Solovyov
> Institute of Chemistry and Chemical Technology
> 660049, K. Marx 42, Krasnoyarsk, Russia
> http://sites.google.com/site/solovyovleonid
> *******************************************************
>
>
> ________________________________
> From: Jonathan WRIGHT <wright...@esrf.fr>
> To: sdpd...@yahoogroups.com
> Cc: Leonid Solovyov <l_solovyov...@yahoo.com>
> Sent: Friday, August 23, 2013 5:22 PM
> Subject: Re: [sdpd] Re: Restrained SDPD future
>
>
> On 23/08/2013 12:07, Leonid Solovyov wrote:
>> >Your "residual-related variance-covariance" matrix is interesting. Do
>> >you have any references about where it comes from?
>>
>> It is not only interesting, but also more realistic...
>
> It does look rather a lot like a linear approximation.
>
> How does your method compare to the bootstrap approach?
>
> Jon
>
> [Non-text portions of this message have been removed]
>
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