Gaussian Copulas - LayerX Research

Gaussian Copulas

GitHub - sdv-dev/Copulas: A library to model multivariate data using copulas.

Sklar’s Theorem

あらゆる多変量同時確率分布は単変量周辺分布関数とコピュラで記述することが可能

docs

https://sdv.dev/Copulas/tutorials/01_Introduction_to_Copulas.html

Generating Synthetic Multivariate Data with Copulas | by Zachary Warnes | Sep, 2021 | Towards Data Science

Differentially Private Synthetic Data | NIST

E.X) https://github.com/usnistgov/PrivacyEngCollabSpace/tree/master/tools/de-identification/Differential-Privacy-Synthetic-Data-Challenge-Algorithms/rmckenna

https://github.com/usnistgov/PrivacyEngCollabSpace/tree/master/tools/de-identification/Differential-Privacy-Synthetic-Data-Challenge-Algorithms

papers

Differentially Private Release of Datasets using Gaussian Copula | Journal of Privacy and Confidentiality

SDV: An Open Source Library for Synthetic Data Generation

COPULA FLOWS FOR SYNTHETIC DATA GENERATION

Growing synthetic data through differentially-private vine copulas(2021)

https://github.com/alxxrg/copula-shirley