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Hello, I'm studying the possibility of using this crate for Markov Chain Monte Carlo (MCMC) based inference. In this use case, the log-density of a distribution is evaluated repeatedly at different pa…
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Nice package! Would it also be possible to use the same approach to fit other families/distributions, as one can do in glmnet, such as multivariate gaussian, multinomial, binomial or Poisson?
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# Power Analysis by Data Simulation in R - Part II | Julian Quandt
This part foucuses on simple scenarios (t-tests) to introduce the simulation of correlated measurements and multivariate normal-dist…
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Currently `ContinuousFactor` only accepts a function for the `pdf` argument. It should accept instances of distributions from `scipy.stats`.
API should look something like:
``` python
from pgmpy.fac…
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* [ ] implement SPD transforms as Stan programs
* [ ] code test distribution programs
* [ ] Wishart
* [ ] inverse Wishart
* [ ] something spectral (distribution on eigenvalues)?
The…
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I'm looking at merging #4107 but I'm not sure of code location
multivariate methods and models PCA, CCA, MANOVA, ... are in `statsmodels.multivariate`
basic one, two and k sample statistics, hyp…
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`As in the case for classification, we can consider an ensemble of networks which parameterize
multivariate normal distributions (MVN)`
We usually use categorical distribution for classfication, I d…
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### Is your feature request related to a problem? Please describe.
I encountered the need to do in some data analysis scenarios, where you use the Dirichlet distribution as a Bayesian prior and wan…
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Hi,
I would like to know if it was on purpose that distributions are re-implemented and not pulled from `Distributions.jl` framework ? And why so ?
Is there / could there be a standardized way …
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I'd like to discuss here the implementation of the multivariate normal cumulative distribution function (CDF), as the following code
```
from torch.distributions import MultivariateNormal
mvn = Mul…