Enhance Distribution Documentation with Mathematical Explanations and Implementation Details
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.8k
- Forks
- 315
- Avg merge
- 3d 9h
- Merged PRs (30d)
- 27
Description
This issue tracks documentation updates that include mathematical explanations alongside implementation details for the distributions and methods listed below.
-
AsymmetricLaplace -
AsymmetricLaplaceQuantile -
Bernoulli(#2192) -
BernoulliLogits(#2192) -
BernoulliProbs(#2192) -
Beta(#2185) -
BetaBinomial(#2277) -
BetaNegativeBinomial(#2109) -
BetaProportion(#2185) -
Binomial(#2192) -
BinomialLogits(#2192) -
BinomialProbs(#2192) -
CAR -
Categorical -
CategoricalLogits(#2199) -
CategoricalProbs(#2199) -
Cauchy(#2188) -
Chi2(#2199) -
CirculantNormal -
Dagum -
Delta -
Dirichlet(#2227) -
DirichletMultinomial(#2277) -
DiscreteUniform(#2199) -
Distribution -
DoublyTruncatedPowerLaw -
EulerMaruyama -
ExpandedDistribution -
Exponential(#2188) -
FoldedDistribution -
Gamma(#2109) -
GammaPoisson(#2109) -
GaussianCopula -
GaussianCopulaBeta -
GaussianRandomWalk(#2266) -
GaussianStateSpace -
Geometric(#2227) -
GeometricLogits(#2227) -
GeometricProbs(#2227) -
Gompertz -
Gumbel(#2202) -
HalfCauchy(#2262) -
HalfNormal(#2262) -
ImproperUniform -
Independent -
IntervalCensoredDistribution -
InverseGamma(#2269) -
InverseWishart -
InverseWishartCholesky -
Kumaraswamy(#2269) -
LKJ -
LKJCholesky -
Laplace(#2202) -
LeftCensoredDistribution -
LeftTruncatedDistribution -
Levy -
LogNormal(#2267) -
LogUniform(#2267) -
Logistic(#2202) -
LowRankMultivariateNormal -
LowerTruncatedPowerLaw -
MaskedDistribution -
MatrixNormal -
Mixture -
MixtureGeneral -
MixtureSameFamily -
Multinomial -
MultinomialLogits(#2277) -
MultinomialProbs(#2277) -
MultivariateNormal -
MultivariateStudentT -
NegativeBinomial2(#2109) -
NegativeBinomialLogits(#2109) -
NegativeBinomialProbs(#2109) -
Normal(#2188) -
OrderedLogistic -
Pareto(#2265) -
Poisson -
ProjectedNormal -
RelaxedBernoulli -
RelaxedBernoulliLogits -
RightCensoredDistribution -
RightTruncatedDistribution -
SineBivariateVonMises -
SineSkewed -
SoftLaplace -
StudentT(#2268) -
TransformedDistribution -
TruncatedCauchy -
TruncatedDistribution -
TruncatedNormal -
TruncatedPolyaGamma -
TwoSidedTruncatedDistribution -
Uniform(#2262) -
Unit -
VonMises(#2270) -
Weibull(#2265) -
Wishart -
WishartCholesky -
ZeroInflatedDistribution -
ZeroInflatedNegativeBinomial2 -
ZeroInflatedPoisson -
ZeroSumNormal
Some distributions may not require updates; such cases can be noted in the comments as already addressed or resolved.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the unchecked distribution names in the issue checklist and review the linked issues for distributions already documented. Inspect the existing distribution documentation and implementation details for a comparable completed item before choosing one. Done means adding the mathematical explanation and implementation details, or noting in the comments that no update is needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100