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### What are you trying to do?
A cumulative distribution function is not currently available for multivariate normal distributions. It would be useful to have one. One exists for univariate normal …
ghost updated
2 years ago
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Up to now, `dingo` supports sampling using the uniform, the
multivariate exponential and the multivariate Gaussian distributions.
A quite interesting addition from the biologist-point-of-view wou…
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If I try to create a product distribution from a discrete distribution and a continuous distribution I get the following error:
```
julia> using Distributions
julia> discrete = DiscreteUniform(…
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Let's say I want to use another package that expects a Distribution, but I want my parameter vector (p) to be such that
p[1] ~ Uniform[0,1),
p[2:4] ~ MvNormal(mu, Sigma),
p[5:7] ~ Dirchlet(alpha), a…
eford updated
8 years ago
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The Count Multivariate Metrics approach:
1. Estimate P(true | predicted) from a confusion matrix
2. Calculate the closed form multinomial mean and variances for each predicted mode on a separate da…
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Hi,
Apologies if this is not the right place to ask/request this functionality. I have been exploring the code of `statsmodels` to learn whether this (fantastic!) piece of software includes **conti…
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These names are subject to change, but basically mimicking what PyMC3:
https://docs.pymc.io/api/distributions/multivariate.html#pymc3.distributions.multivariate.LKJCholeskyCov
and Stan:
https://m…
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This copula pack is great.
I work in financial risk management and mainly focus on the tail of distributions, but multivariate normal copula cannot capture the fat tail characteristics of financial d…
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Hi!
I am looking into maybe contributing more ESS estimators to `MCMCDiagnosticTools.jl`, but it seems the current organization of the package is quite tightly coupled with the current `ess_rhat.jl…