Comments (4)
I like characteristic
. But I think someone started implementing this as cf
.
from distributions.jl.
characteristic
is potentially ambiguous since characteristic something is ubiquitous in mathematics. But I'm open to changing from cf
.
from distributions.jl.
I'm working on this right now using mgf
and cf
. If people want to change the names at some point in the future, I'm open to it.
from distributions.jl.
Enough distributions have this functionality now that I'm going to close this issue. Please open specific issues for adding mgf
and cf
for specific distributions.
from distributions.jl.
Related Issues (20)
- Misuse of `Base.minimum` and `Base.maximum`?
- inv(Σ) fails with StaticArrays HOT 2
- Document Thread Safety
- sampling from `BetaSampler` slower than directly from `Beta` HOT 1
- `DiscreteNonParametric` and `Categorical` Construction Issue
- Infinite loop for quantile of InverseGaussian for specific value HOT 3
- Reduce the dimension of a Multivariate distribution by using a partial observation. HOT 1
- Characteristic function for Univariate Mixtures
- ERROR: MethodError: no method matching JointOrderStatistics(::DiscreteNonParametric{Float64, Float64, Vector{Float64}, Vector{Float64}}, ::Int64) HOT 2
- `suffstats` integer overflow HOT 1
- No characteristic function of MvNormal HOT 2
- installation warning/error about DistributionsTestExt (not) precompiling
- Outdated code sample in Mixture documentation
- Documentation for gradlogpdf HOT 1
- Missing docstring for loglikelihood HOT 3
- Add Fisher Information Matrix function
- Changing the type from `Float` to `Int` breaks `mean` of `MixtureModel`
- `0 <= cdf(Normal(),x) <= 1` not always true. HOT 4
- `0 <= cdf(truncated(Normal(2.5, 0.2), lower=0.0),x)` not always true. HOT 2
- Suggestion: 3-argument cdf() HOT 1
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from distributions.jl.