gaussian-copula

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

Missing value imputation using Gaussian copula

Provides functions to impute missing values using Gaussian copulas for mixed data types.

Code for the paper "Testing Copula Hypothesis with Copula Entropy"

Synthea-inspired hybrid synthetic patient record generator — Gaussian copula + clinical modules, trained on Turkish pristine-healthy EHR cohorts. Outputs CSV + FHIR R4 (LOINC/SNOMED/ICD-10/RxNorm). Includes a Tauri desktop app for non-coders.

synthetic data generation

Privacy-preserving synthetic healthcare data generation using Gaussian Copula with statistical and machine learning evaluation.

A Streamlit app that preprocesses your dataset and generates high-quality synthetic data using Gaussian Copula and CTGAN models, with built-in evaluation and easy CSV export.

This repo is about the SFR predicting project augmented with synthetic data

A deterministic demographic simulation and opinion dynamics engine for Turkey. Couples empirical micro-data (TÜİK, BDDK) with Gaussian Copulas, Judea Pearl Causal DAGs, and real-time macroeconomic stream ingestion.

Master’s thesis project on lithium-ion battery RUL prediction using real battery-cycle data, Gaussian Copula synthetic data, LSTM, and XGBoost.

Compute the Pearson correlation to be used in Gaussian copulas

Python framework for VaR, Expected Shortfall, volatility modelling, backtesting, stress testing, Gaussian-copula simulation, and model validation.