Copulas
Overview
Installing Copulas
Requirements
Install with pip
Install with conda
Install from source
Install for development
Quickstart
1. Load the data
2. Create a Copula instance
3. Fit the model
4. Sample new data
5. Load and save a model
6. Extract and set parameters
User Guides
Introduction to Copulas
Probability Review
Probability Density Function
Cumulative Distribution Function
Probability Integral Transform
Copulas
Univariate Distributions
Univariate Usage Example
Fitting the model
Sampling new data
Probability Density
Cumulative Distribution
to_dict and from_dict
Selecting the best Univariate
Fitting a generic Univariate
Recreating the Univariate
Univariate Families
Multivariate Distributions
Gaussian Multivariate
Fitting a Model and Generating Synthetic Data
Specifying column distributions
Probability Density and Cumulative Distribution
to_dict and from_dict
Vine Copulas
Advanced Usage
Synthetic Data for Machine Learning
Loading the dataset
Generating synthetic data
Training a linear model
Resources
API Reference
copulas.bivariate package
copulas.bivariate.base module
copulas.bivariate.clayton module
copulas.bivariate.frank module
copulas.bivariate.gumbel module
copulas.bivariate.independence module
copulas.bivariate.utils module
copulas.multivariate package
copulas.multivariate.base module
copulas.multivariate.gaussian module
copulas.multivariate.tree module
copulas.multivariate.vine module
copulas.optimize package
copulas.univariate package
copulas.univariate.base module
copulas.univariate.beta module
copulas.univariate.gamma module
copulas.univariate.gaussian module
copulas.univariate.gaussian_kde module
copulas.univariate.log_laplace module
copulas.univariate.selection module
copulas.univariate.student_t module
copulas.univariate.truncated_gaussian module
copulas.univariate.uniform module
copulas.datasets module
copulas.visualization module
Contributing
History
Authors
Copulas
Docs
»
Index
Edit on GitHub
Index
_
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
V
_
_subclasses (copulas.bivariate.base.Bivariate attribute)
(copulas.bivariate.Bivariate attribute)
B
BetaUnivariate (class in copulas.univariate)
(class in copulas.univariate.beta)
bisect() (in module copulas.optimize)
Bivariate (class in copulas.bivariate)
(class in copulas.bivariate.base)
BOUNDED (copulas.univariate.base.BoundedType attribute)
(copulas.univariate.base.Univariate attribute)
(copulas.univariate.beta.BetaUnivariate attribute)
(copulas.univariate.BetaUnivariate attribute)
(copulas.univariate.BoundedType attribute)
(copulas.univariate.gamma.GammaUnivariate attribute)
(copulas.univariate.GammaUnivariate attribute)
(copulas.univariate.gaussian.GaussianUnivariate attribute)
(copulas.univariate.gaussian_kde.GaussianKDE attribute)
(copulas.univariate.GaussianKDE attribute)
(copulas.univariate.GaussianUnivariate attribute)
(copulas.univariate.log_laplace.LogLaplace attribute)
(copulas.univariate.LogLaplace attribute)
(copulas.univariate.student_t.StudentTUnivariate attribute)
(copulas.univariate.StudentTUnivariate attribute)
(copulas.univariate.truncated_gaussian.TruncatedGaussian attribute)
(copulas.univariate.TruncatedGaussian attribute)
(copulas.univariate.uniform.UniformUnivariate attribute)
(copulas.univariate.UniformUnivariate attribute)
(copulas.univariate.Univariate attribute)
BoundedType (class in copulas.univariate)
(class in copulas.univariate.base)
C
cdf() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
CENTER (copulas.multivariate.tree.TreeTypes attribute)
(copulas.multivariate.TreeTypes attribute)
CenterTree (class in copulas.multivariate.tree)
chandrupatla() (in module copulas.optimize)
check_fit() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
check_marginal() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
check_theta() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
check_valid_values() (in module copulas)
Clayton (class in copulas.bivariate)
(class in copulas.bivariate.clayton)
CLAYTON (copulas.bivariate.base.CopulaTypes attribute)
(copulas.bivariate.CopulaTypes attribute)
columns (copulas.multivariate.gaussian.GaussianMultivariate attribute)
(copulas.multivariate.GaussianMultivariate attribute)
(copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
compare_1d() (in module copulas.visualization)
compare_2d() (in module copulas.visualization)
compare_3d() (in module copulas.visualization)
compute_theta() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
copula_type (copulas.bivariate.base.Bivariate attribute)
,
[1]
(copulas.bivariate.Bivariate attribute)
,
[1]
(copulas.bivariate.Clayton attribute)
(copulas.bivariate.clayton.Clayton attribute)
(copulas.bivariate.Frank attribute)
(copulas.bivariate.frank.Frank attribute)
(copulas.bivariate.Gumbel attribute)
(copulas.bivariate.gumbel.Gumbel attribute)
(copulas.bivariate.independence.Independence attribute)
copulas (module)
copulas.bivariate (module)
copulas.bivariate.base (module)
copulas.bivariate.clayton (module)
copulas.bivariate.frank (module)
copulas.bivariate.gumbel (module)
copulas.bivariate.independence (module)
copulas.bivariate.utils (module)
copulas.datasets (module)
copulas.multivariate (module)
copulas.multivariate.base (module)
copulas.multivariate.gaussian (module)
copulas.multivariate.tree (module)
copulas.multivariate.vine (module)
copulas.optimize (module)
copulas.univariate (module)
copulas.univariate.base (module)
copulas.univariate.beta (module)
copulas.univariate.gamma (module)
copulas.univariate.gaussian (module)
copulas.univariate.gaussian_kde (module)
copulas.univariate.log_laplace (module)
copulas.univariate.selection (module)
copulas.univariate.student_t (module)
copulas.univariate.truncated_gaussian (module)
copulas.univariate.uniform (module)
copulas.visualization (module)
CopulaTypes (class in copulas.bivariate)
(class in copulas.bivariate.base)
correlation (copulas.multivariate.gaussian.GaussianMultivariate attribute)
(copulas.multivariate.GaussianMultivariate attribute)
cumulative_distribution() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
(copulas.bivariate.independence.Independence method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.gaussian.GaussianMultivariate method)
(copulas.multivariate.GaussianMultivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.gaussian_kde.GaussianKDE method)
(copulas.univariate.GaussianKDE method)
(copulas.univariate.Univariate method)
D
depth (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
DIRECT (copulas.multivariate.tree.TreeTypes attribute)
(copulas.multivariate.TreeTypes attribute)
DirectTree (class in copulas.multivariate.tree)
E
Edge (class in copulas.multivariate.tree)
F
fit() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.independence.Independence method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.gaussian.GaussianMultivariate method)
(copulas.multivariate.GaussianMultivariate method)
(copulas.multivariate.Multivariate method)
(copulas.multivariate.Tree method)
(copulas.multivariate.tree.Tree method)
(copulas.multivariate.vine.VineCopula method)
(copulas.multivariate.VineCopula method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
fitted (copulas.multivariate.base.Multivariate attribute)
(copulas.multivariate.Multivariate attribute)
(copulas.multivariate.Tree attribute)
(copulas.multivariate.tree.Tree attribute)
(copulas.univariate.base.Univariate attribute)
(copulas.univariate.Univariate attribute)
Frank (class in copulas.bivariate)
(class in copulas.bivariate.frank)
FRANK (copulas.bivariate.base.CopulaTypes attribute)
(copulas.bivariate.CopulaTypes attribute)
from_dict() (copulas.bivariate.base.Bivariate class method)
(copulas.bivariate.Bivariate class method)
(copulas.multivariate.base.Multivariate class method)
(copulas.multivariate.gaussian.GaussianMultivariate class method)
(copulas.multivariate.GaussianMultivariate class method)
(copulas.multivariate.Multivariate class method)
(copulas.multivariate.Tree class method)
(copulas.multivariate.tree.Edge class method)
(copulas.multivariate.tree.Tree class method)
(copulas.multivariate.vine.VineCopula class method)
(copulas.multivariate.VineCopula class method)
(copulas.univariate.base.Univariate class method)
(copulas.univariate.Univariate class method)
G
GammaUnivariate (class in copulas.univariate)
(class in copulas.univariate.gamma)
GaussianKDE (class in copulas.univariate)
(class in copulas.univariate.gaussian_kde)
GaussianMultivariate (class in copulas.multivariate)
(class in copulas.multivariate.gaussian)
GaussianUnivariate (class in copulas.univariate)
(class in copulas.univariate.gaussian)
generator() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
(copulas.bivariate.independence.Independence method)
get_adjacent_matrix() (copulas.multivariate.Tree method)
(copulas.multivariate.tree.Tree method)
get_anchor() (copulas.multivariate.tree.CenterTree method)
get_child_edge() (copulas.multivariate.tree.Edge class method)
get_conditional_uni() (copulas.multivariate.tree.Edge class method)
get_instance() (in module copulas)
get_likelihood() (copulas.multivariate.Tree method)
(copulas.multivariate.tree.Edge method)
(copulas.multivariate.tree.Tree method)
(copulas.multivariate.vine.VineCopula method)
(copulas.multivariate.VineCopula method)
get_qualified_name() (in module copulas)
get_tau_matrix() (copulas.multivariate.Tree method)
(copulas.multivariate.tree.Tree method)
get_tree() (in module copulas.multivariate.tree)
Gumbel (class in copulas.bivariate)
(class in copulas.bivariate.gumbel)
GUMBEL (copulas.bivariate.base.CopulaTypes attribute)
(copulas.bivariate.CopulaTypes attribute)
H
hist_1d() (in module copulas.visualization)
I
Independence (class in copulas.bivariate.independence)
INDEPENDENCE (copulas.bivariate.base.CopulaTypes attribute)
(copulas.bivariate.CopulaTypes attribute)
infer() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
invalid_thetas (copulas.bivariate.base.Bivariate attribute)
,
[1]
(copulas.bivariate.Bivariate attribute)
,
[1]
(copulas.bivariate.Clayton attribute)
(copulas.bivariate.clayton.Clayton attribute)
(copulas.bivariate.Frank attribute)
(copulas.bivariate.frank.Frank attribute)
(copulas.bivariate.Gumbel attribute)
(copulas.bivariate.gumbel.Gumbel attribute)
is_adjacent() (copulas.multivariate.tree.Edge method)
L
load() (copulas.bivariate.base.Bivariate class method)
(copulas.bivariate.Bivariate class method)
(copulas.multivariate.base.Multivariate class method)
(copulas.multivariate.Multivariate class method)
(copulas.univariate.base.Univariate class method)
(copulas.univariate.Univariate class method)
log_probability_density() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
LogLaplace (class in copulas.univariate)
(class in copulas.univariate.log_laplace)
M
model (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
MODEL_CLASS (copulas.univariate.base.ScipyModel attribute)
(copulas.univariate.beta.BetaUnivariate attribute)
(copulas.univariate.BetaUnivariate attribute)
(copulas.univariate.gamma.GammaUnivariate attribute)
(copulas.univariate.GammaUnivariate attribute)
(copulas.univariate.gaussian.GaussianUnivariate attribute)
(copulas.univariate.gaussian_kde.GaussianKDE attribute)
(copulas.univariate.GaussianKDE attribute)
(copulas.univariate.GaussianUnivariate attribute)
(copulas.univariate.log_laplace.LogLaplace attribute)
(copulas.univariate.LogLaplace attribute)
(copulas.univariate.student_t.StudentTUnivariate attribute)
(copulas.univariate.StudentTUnivariate attribute)
(copulas.univariate.truncated_gaussian.TruncatedGaussian attribute)
(copulas.univariate.TruncatedGaussian attribute)
(copulas.univariate.uniform.UniformUnivariate attribute)
(copulas.univariate.UniformUnivariate attribute)
Multivariate (class in copulas.multivariate)
(class in copulas.multivariate.base)
N
n_sample (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
n_var (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
NON_PARAMETRIC (copulas.univariate.base.ParametricType attribute)
(copulas.univariate.ParametricType attribute)
NotFittedError
P
PARAMETRIC (copulas.univariate.base.ParametricType attribute)
(copulas.univariate.base.Univariate attribute)
(copulas.univariate.beta.BetaUnivariate attribute)
(copulas.univariate.BetaUnivariate attribute)
(copulas.univariate.gamma.GammaUnivariate attribute)
(copulas.univariate.GammaUnivariate attribute)
(copulas.univariate.gaussian.GaussianUnivariate attribute)
(copulas.univariate.gaussian_kde.GaussianKDE attribute)
(copulas.univariate.GaussianKDE attribute)
(copulas.univariate.GaussianUnivariate attribute)
(copulas.univariate.log_laplace.LogLaplace attribute)
(copulas.univariate.LogLaplace attribute)
(copulas.univariate.ParametricType attribute)
(copulas.univariate.student_t.StudentTUnivariate attribute)
(copulas.univariate.StudentTUnivariate attribute)
(copulas.univariate.truncated_gaussian.TruncatedGaussian attribute)
(copulas.univariate.TruncatedGaussian attribute)
(copulas.univariate.uniform.UniformUnivariate attribute)
(copulas.univariate.UniformUnivariate attribute)
(copulas.univariate.Univariate attribute)
ParametricType (class in copulas.univariate)
(class in copulas.univariate.base)
partial_derivative() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
(copulas.bivariate.independence.Independence method)
partial_derivative_scalar() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
pdf() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
percent_point() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
(copulas.bivariate.independence.Independence method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.gaussian_kde.GaussianKDE method)
(copulas.univariate.GaussianKDE method)
(copulas.univariate.Univariate method)
ppf() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
ppfs (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
prepare_next_tree() (copulas.multivariate.Tree method)
(copulas.multivariate.tree.Tree method)
probability_density() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.bivariate.Clayton method)
(copulas.bivariate.clayton.Clayton method)
(copulas.bivariate.Frank method)
(copulas.bivariate.frank.Frank method)
(copulas.bivariate.Gumbel method)
(copulas.bivariate.gumbel.Gumbel method)
(copulas.bivariate.independence.Independence method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.gaussian.GaussianMultivariate method)
(copulas.multivariate.GaussianMultivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.gaussian_kde.GaussianKDE method)
(copulas.univariate.GaussianKDE method)
(copulas.univariate.Univariate method)
R
random_state() (in module copulas)
REGULAR (copulas.multivariate.tree.TreeTypes attribute)
(copulas.multivariate.TreeTypes attribute)
RegularTree (class in copulas.multivariate.tree)
S
sample() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.gaussian.GaussianMultivariate method)
(copulas.multivariate.GaussianMultivariate method)
(copulas.multivariate.Multivariate method)
(copulas.multivariate.vine.VineCopula method)
(copulas.multivariate.VineCopula method)
(copulas.univariate.base.ScipyModel method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.gaussian_kde.GaussianKDE method)
(copulas.univariate.GaussianKDE method)
(copulas.univariate.Univariate method)
sample_bivariate_age_income() (in module copulas.datasets)
sample_trivariate_xyz() (in module copulas.datasets)
sample_univariate_bernoulli() (in module copulas.datasets)
sample_univariate_beta() (in module copulas.datasets)
sample_univariate_bimodal() (in module copulas.datasets)
sample_univariate_degenerate() (in module copulas.datasets)
sample_univariate_exponential() (in module copulas.datasets)
sample_univariate_normal() (in module copulas.datasets)
sample_univariate_uniform() (in module copulas.datasets)
sample_univariates() (in module copulas.datasets)
save() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
scalarize() (in module copulas)
scatter_2d() (in module copulas.visualization)
scatter_3d() (in module copulas.visualization)
ScipyModel (class in copulas.univariate.base)
select_copula() (copulas.bivariate.base.Bivariate class method)
(copulas.bivariate.Bivariate class method)
select_univariate() (in module copulas.univariate.selection)
SEMI_BOUNDED (copulas.univariate.base.BoundedType attribute)
(copulas.univariate.BoundedType attribute)
set_random_state() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.Multivariate method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
(in module copulas)
side_by_side() (in module copulas.visualization)
sort_edge() (copulas.multivariate.tree.Edge static method)
split_matrix() (in module copulas.bivariate.utils)
store_args() (in module copulas)
StudentTUnivariate (class in copulas.univariate)
(class in copulas.univariate.student_t)
subclasses() (copulas.bivariate.base.Bivariate class method)
(copulas.bivariate.Bivariate class method)
T
tau (copulas.bivariate.base.Bivariate attribute)
,
[1]
(copulas.bivariate.Bivariate attribute)
,
[1]
tau_mat (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
theta (copulas.bivariate.base.Bivariate attribute)
,
[1]
(copulas.bivariate.Bivariate attribute)
,
[1]
theta_interval (copulas.bivariate.base.Bivariate attribute)
,
[1]
(copulas.bivariate.Bivariate attribute)
,
[1]
(copulas.bivariate.Clayton attribute)
(copulas.bivariate.clayton.Clayton attribute)
(copulas.bivariate.Frank attribute)
(copulas.bivariate.frank.Frank attribute)
(copulas.bivariate.Gumbel attribute)
(copulas.bivariate.gumbel.Gumbel attribute)
to_dict() (copulas.bivariate.base.Bivariate method)
(copulas.bivariate.Bivariate method)
(copulas.multivariate.base.Multivariate method)
(copulas.multivariate.gaussian.GaussianMultivariate method)
(copulas.multivariate.GaussianMultivariate method)
(copulas.multivariate.Multivariate method)
(copulas.multivariate.Tree method)
(copulas.multivariate.tree.Edge method)
(copulas.multivariate.tree.Tree method)
(copulas.multivariate.vine.VineCopula method)
(copulas.multivariate.VineCopula method)
(copulas.univariate.base.Univariate method)
(copulas.univariate.Univariate method)
train_vine() (copulas.multivariate.vine.VineCopula method)
(copulas.multivariate.VineCopula method)
Tree (class in copulas.multivariate)
(class in copulas.multivariate.tree)
tree_type (copulas.multivariate.Tree attribute)
(copulas.multivariate.tree.CenterTree attribute)
(copulas.multivariate.tree.DirectTree attribute)
(copulas.multivariate.tree.RegularTree attribute)
(copulas.multivariate.tree.Tree attribute)
trees (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
TreeTypes (class in copulas.multivariate)
(class in copulas.multivariate.tree)
truncated (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
TruncatedGaussian (class in copulas.univariate)
(class in copulas.univariate.truncated_gaussian)
U
u_matrix (copulas.multivariate.vine.VineCopula attribute)
(copulas.multivariate.VineCopula attribute)
UNBOUNDED (copulas.univariate.base.BoundedType attribute)
(copulas.univariate.BoundedType attribute)
UniformUnivariate (class in copulas.univariate)
(class in copulas.univariate.uniform)
Univariate (class in copulas.univariate)
(class in copulas.univariate.base)
univariates (copulas.multivariate.gaussian.GaussianMultivariate attribute)
(copulas.multivariate.GaussianMultivariate attribute)
V
validate_random_state() (in module copulas)
vectorize() (in module copulas)
VineCopula (class in copulas.multivariate)
(class in copulas.multivariate.vine)