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Questions - gaussian

Python Digitize continuous variable input data into discrete variable (bins) where the distribution is Normal Gaussian

I have a time-series of various data, (continuous variable), that I want to discretize. Now, my understanding is that the 'bin', digitize function of python groups them linearly along the max/min rang...
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Kiann

python

gaussian

Votes: 0

Answers: 1

Latest Answer

np.digitize(data_X, bins) groups the values according to the bin edges that you give it with bins. If you use bins = np.linspace(data_X.min(), data_X.max(), num=10) you will get linear bin edges. Thi...
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Firefighting Physicist

Plotting two sets of MultiVariate Gaussian Data on the same plot

I am trying to create and plot two sets of Gaussian Data. I have used numpy np.random.multivariate_normal(mu, cov, #points).T format. When I don't transpose, it gives me a "too many values to unp...
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gammaradiation

python

numpy

matplotlib

gaussian

Votes: 0

Answers: 1

Latest Answer

You should add transpose because when you want assign to elements of an array to two variables, the array shape must be (2,n). But when you do not add transpose, the shape of array would be (n,2). So ...
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Mohammad Khoshbin

Multivariate Gaussian likelihood without matrix inversion

There are several tricks available for sampling from a multivariate Gaussian without matrix inversion--cholesky/LU decomposition among them. Are there any tricks for calculating the likelihood of a m...
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Faydey

numpy

gaussian

normal-distribution

Votes: 0

Answers: 0

Vectorization of numpy matrix that contains pdf of multiple gaussians and multiple samples

My problem is this: I have GMM model with K multi-variate gaussians, and also I have N samples. I want to create a N*K numpy matrix, which in it's [i,k] cell there is the pdf function of the k'th gaus...
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Netta Shafir

python

numpy

scipy

vectorization

gaussian

Votes: 0

Answers: 1

Latest Answer

I am afraid, that the main speed killer in your problem is the inversion and deteminant calculation for the cov_t matrices. If you somehow managed to precalculate these, you could enroll the calculati...
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Jakob Stark

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