On Mon, Feb 10, 2014 at 3:39 PM, <josef.p...@gmail.com> wrote: > > > On Mon, Feb 10, 2014 at 3:04 PM, Matthew Brett <matthew.br...@gmail.com>wrote: > >> Hi, >> >> On Mon, Feb 10, 2014 at 7:09 AM, Alan G Isaac <alan.is...@gmail.com> >> wrote: >> [snip] >> > Just to forestall the usual "just start them with arrays, eventually >> they'll >> > be grateful" reply, I would want to hear that suggestion only from >> someone >> > who has used it successfully with undergraduates in the social sciences. >> >> I teach psychologists and neuroscientists mainly - you can get an idea >> of the level I'm teaching at from the notebook I posted earlier in the >> thread. >> >> I can't speak to my success in any objective way, but I didn't hear >> the students complain about the X.dot(Y). This may be because >> >> a) only some of them have much experience of or liking for matlab >> b) some of them have the impression that Python is the way to go, and >> they accept that this will mean some changes >> c) not much of the code they see is of the form: X * (X.T * X).I * X.T >> . In fact, the notebook I posted was the closest to that stuff. In >> any case I personally found it easier show the ideas using sympy. >> > > In support of Alan's view: > > Linear models in econometrics is all linear algebra, and GAUSS is still > popular among econometricians because you can write a lot of code just like > in the paper. (although GAUSS isn't as popular as it was some time ago, but > matlab is not much different.) > >
> > https://github.com/statsmodels/statsmodels/blob/master/statsmodels/sandbox/regression/gmm.py#L1194 > I should have added this http://en.wikipedia.org/wiki/Generalized_method_of_moments#Asymptotic_normality covariance of the estimator, second equation line Josef > > statsmodels doesn't use masked arrays; structured dtypes and recarrays are > only used for input, and might be replaced by pandas.DataFrames, pandas is > creeping into more core areas of statsmodels. > > I'm not voting in favor of removing everything in numpy that I'm not using. > > Josef > > >> >> Cheers, >> >> Matthew >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > >
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