W dniu 09.09.2017 o 01:53, Summers, Peter pisze:
I like Sven's idea, and I'd be glad to contribute a Bayesian
mcmc example.
That is fine idea but that will not be easy at all. We can use our
BMA
new code (which was not revealed yet) where we use MPI for MC sampling.
It it pretty fast and efficient.
Jack, we can talk about it in 3 weeks.
Marcin
One thought occurs to me though. I've ported a bunch of matlab
code to hansl, but my goal has always been getting it to run, not optimization. My point
is that an octave guru could look at my code and sped it up by x%, while Jack speeds my
hansl code up by y%. Maybe I'm anticipating the referee's report, but making an
"apples to apples " comparison in all the cases might not be easy.
Still a good idea though.
PS
Sent from my iPad
On Sep 8, 2017, at 11:26 AM, Riccardo (Jack) Lucchetti <r.lucchetti(a)univpm.it>
wrote:
>>>
https://linkprotect.cudasvc.com/url?a=http://www.cybertester.com/data/ncr...
>>> It'd be nice to use some of that too.
>> Well, it's very old. I don't want to stop people from sending comparisons
with Gauss, but I certainly am not going to work on that myself. (Admittedly, there's
some Ox and Matlab stuff as well.)
>>
> Sorry, I wasn't clear. What I meant was: it'd be nice to adapt some of the
test the guy uses for our purposes.
>
> -------------------------------------------------------
> Riccardo (Jack) Lucchetti
> Dipartimento di Scienze Economiche e Sociali (DiSES)
>
> Università Politecnica delle Marche
> (formerly known as Università di Ancona)
>
> r.lucchetti(a)univpm.it
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