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I have some data which contains anomalies as well.
I want to model data using Gaussian distribution assuming variables are dependent in Python.
How can I model this? Should I use the PDF formula as a function, figure out the probabilities and take out the accuracy?
Note: This has been given as an assignment in my college. I am trying to figure out the solution.
If you assume variables are dependent, in a Gaussian distribution this means the covariance matrix is not diagonal.
