This repository serves as a research archive for the mini-project "Comparison of Gaussian graphical models (GGM) and Directed Cyclic Graph (DCG) Models as Causal Discovery Tools"

R Package for Simultaneous Multi-Bias Analysis

R Code for graphical causal models including some undirected one. Models include LiNGAM, LOFS, Patel's tau, graphical lasso, and PC algorithm.

Implementation of "Marc F. Bellemare and Jeffrey R. Bloem: The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion. March 4, 2020"

Complex Systems Modelling

This repository is designed to document and explain in-detailed analysis of data, from concepts like mining or transforming to predictive analytics.

Generating images of minority groups using latent SCM model in the Bidirectional Generative Model.

A structure for representing possible states of a causal entity (such as plot, generalized character personality, aspects of natural language typological structure, etc.) taking into account the probabilities of facts

CCNETS is uniquely crafted to emulate brain-like information processing and comprises three main components: explainer, producer, and reasoner. Each component is designed to mimic specific brain functions, which aids in generating high-quality datasets and enhancing the classification performance

Working with the causaleffects and igraph

Source code for the ML models used in experiments with CA-CNN architecture.

Political Data Science Project: Environmental Impact Evaluation of Bicycle Sharing (Grade: 20/20)

Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.

Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.

Artificial Intelligence Notes (causal inference)

Personal notes about causal inference

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

Estimation of Causal structural model using Housing Price and Housing Credit