Hi!
Thank you for your coments.
>
> > Support symbolic expressions of density function that implement the
> covariance matrix.
> Can you provide some examples for this idea.
>
If we have a normal multinomial random variable X = (X1, X2), with
covariance matrix Σ and mean μ, a symbolic
Hi,
> Use matrices modules to perform some basic operations for the
multivariate rv's, for example we could use the eigen module to perform
Principal Component Analysis and Factor Analysis.
This needs more thought and we should check for feasibility before moving
forward with PCA
Hi!
I am working on my application and i was thinking of ways to extend the
support of multivariate distributions. For example:
1. Add more matrices support.
a. Use matrices modules to perform some basic operations for the
multivariate rv's, for example we could use the eigen
Hi,
As far as I know, the "Probability" project is available for GSoC, 2020.
Please let me know of any questions regarding GSoC projects related to
`stats` module.
Best wishes.
On Tue, Mar 17, 2020 at 1:06 AM Basilis Kalos
wrote:
> Hi all
>
>
> The first project that i’m most interested to
Hi all
The first project that i’m most interested to work on is the “Optimize
floating point expressions”. I am familiar with Herbie and I have started
reading its source code with the purpose of adapting ideas and even code
(after re-writing it in python). How does that sound?
I
Sympy's ideas page for GSoC lists a variety of projects useful for
physics computation, like the ones named in this post's subject. I am
a third year physics major and possible compsci minor at the
University of Chicago and write data analysis and simulations in
Python for a cosmology/astrophysics
Hi.
On Thu, Mar 22, 2012 at 6:34 PM, Mike Karfunkle
lavalampmas...@gmail.com wrote:
Sympy's ideas page for GSoC lists a variety of projects useful for
physics computation, like the ones named in this post's subject. I am
a third year physics major and possible compsci minor at the
University
