João Felipe Santos <joao....@gmail.com>
wrote:
> To give this a bit of context, I implemented Barber’s algorithm in Julia
> and used the scikit-learn implementation to check my results (and also to
> get hints for fixing numerical instability issues). I think the main
> source of confusion here was that both in standard stats notation and in
> Julia stats packages, samples live in columns instead of rows. However, I
> was aware of this since I was transposing the data matrix I am using to
> test the algorithm when calling scikit-learn functions. Go figure :)
>
The standard notation in statistics is to have samples in rows (rank n x p
matrices).
Consider the linear model
y = X beta + eta
If X and y did not have samples in rows it would mandate the expression
y = beta X + eta
Now, look in any textbook and see what you find.
Sturla
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