GAS
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Errors on UGASRoll methods; ES performance; classification problems
Hi,
First, thanks for such a great package. There are 3 things I would like to ask:
Classification problem:
If I get it right, the GAS can be used for both regression and classification problems. I would like to know which distributions would be the most suitable for:
- binary classification problem (say 0 and 1).
- multiclass classification problem (say -1, 0, 1)?
My plan is to label financial time series as {0,1} or {-1,0,1} and try to apply GAS for VAR/ES prediction. I am even sure this is possible.
ES performance
Estimating the expected shortfall is very slow for some distributions (for example ast). Is there a possibility to estimate ES in parallel to boost performance?
Errors
There are some errors for UGASRoll methods:
-
residualsmethod forstddistribution returns an error:
Error in NextMethod(.Generic) :
dims [product 500] do not match the length of object [6022]
In addition: Warning message:
In `-.default`(vY, mMoments[, 1L]) :
longer object length is not a multiple of shorter object length
-
coefmethod forstddistribution returns an error:
Error: $ operator not defined for this S4 class