I would hesitate long before doing that. People do similar things,
but:
"Cross-validation and bootstrapping become considerably more complicated
for time series data; see Hjorth (1994) and Snijders (1988)."
http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-12.html
I just tried www.r-project.org -> search -> "R site search"
for "time
series cross validation", "jackknife time series" and
"bootstrap time
series". I found the above using Google for the same terms.
spencer graves
Werner Bier wrote:
> Dear R-help,
>
> I was wondering if somebody has a strong opinion on the following matter:
>
> Would you see appropriate to apply the leave-one-out cross validation
techinque in time series modelling?
>
> Thanks in advance,
> Tom
>
> __________________________________________________
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html
--
Spencer Graves, PhD
Senior Development Engineer
PDF Solutions, Inc.
333 West San Carlos Street Suite 700
San Jose, CA 95110, USA
spencer.graves at pdf.com
www.pdf.com <http://www.pdf.com>
Tel: 408-938-4420
Fax: 408-280-7915