David Widmann
David Widmann
I ran into the following issue on Symbolics#master: ```julia julia> using Symbolics julia> ex = (1.1540262529490819e-7(5.011872336272725e-8 + a)*(10^(-x))) / (2.511886431509582e-15((a + 10^(-x))^2)) + (-2.302585092994046(5.011872336272725e-8 + a)*(10^(-x))) / (5.011872336272725e-8(a + 10^(-x)));...
Fixes #436. Fixes #740.
I just learnt that since Preferences 1.4.3, `Preferences.set_preferences!` accepts package names in addition to modules and UUIDs. This PR updates the docs accordingly, I think most users would prefer not...
The current implementation of `hill` etc. is problematic for large arguments. For instance, ```julia julia> hill(1e40, 1, 1e40, 10) NaN ``` I tend to use something like ```julia function myhill(x,...
Line 149 was wrong, but it seems it was not caught by the tests since this simplification is applied already when the expression is constructed. Which made me wonder whether...
The PR removes the definition of `median(::MvLogNormal)`. It was added in https://github.com/JuliaStats/Distributions.jl/pull/455 but IMO that should have been discussed more thoroughly. 1. The marginal median is just one of multiple...
## master ```julia julia> using Distributions, Chairmarks, Random julia> @be randn logpdf($(JohnsonSU(10, 10, 1, 3)), _) Benchmark: 3581 samples with 873 evaluations min 28.016 ns median 29.353 ns mean 29.809...
We have `LKJCholesky` as a distribution of Cholesky factors such that the corresponding unfactorized matrix follows the `LKJ` distribution of the same parameters. This is convenient since (copied from the...
Ref #1964. Currently just to see if and what it would break.
Fixes https://github.com/JuliaStats/Distributions.jl/issues/1423. As already discussed in #1423, in the special case `mu = [1, 0, ..., 0]` no rotation of the "initial" sample is needed. I think skipping the rotation...