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https://doi.org/10.1101/095638 (http://biorxiv.org/content/early/2016/12/20/095638)
> Learning the joint distributions of measurements, and in particular identification of an appropriate low-dimens…
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When possible, it's desirable for the displayed version of an object to parse to that same value. This package does not satisfy this:
```julia
julia> Normal(0,1)
Normal{Float64}(μ=0.0, σ=1.0)
…
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I am writing a small package that does unit root tests on a time series. I was always saddened by the inconsistent framework of various `R` statistical tests so I thought how to do it right in case of…
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I'd like to discuss API addition before I send the PR.
Quantile surfaces for multivariate normal distributions are ellipsoids. I suggest to add following definition:
```julia
type Ellipsoid
…
mikea updated
5 years ago
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The current definition of `Uniform` is not type stable. I tried to make a method in https://github.com/JuliaStats/Distributions.jl/pull/1035 to make it usable, but it doesn't help.
```julia
using …
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I get
```julia
julia> supertypes(typeof(Dirac([0.0, 1.0])))
(Dirac{Vector{Float64}}, Distribution{Univariate, Discrete}, Sampleable{Univariate, Discrete}, Any)
```
but when `v` is a `Vector…
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This is an entrance task for the MCMC GSoC 2014 project http://www.shogun-toolbox.org/page/Events/gsoc2014_ideas#mcmc
Currently, Shogun has various ways to represent probability distributions:
The la…
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This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…
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(going a bit in circles)
- Bernstein polynomial density estimation is a kind of kernel estimation based on histogram data, or grouped probabilities. domain is interval [0,1] #7296
- in fast kde w…
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Right now, the only functionality exposed to the user is the `between` function and SciPy-like distribution functions on random variables.
The distribution functions, I quite like, though I do feel w…