Yezi Chu's starred repositories
kernel_regression
Implementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.
pygformula
The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
causaltensor
A python package for causal inference in panels
causal-fairness
Causal Conceptions of Fairness and their Consequences
hal-workshops
Teaching materials for HAL workshops and short courses
CausalInference
Project for Math 522 at BYU. We are interested in understanding causal inference in deep learning.
interference-review
A review of causal inference approaches with partial interference
causal-inference
Course repository for BIOST 578: Causal Inference for Biomedical Studies (Spring 2024) with Dr. Ting Ye
causalGossipSub
Causal Discovery and Analysis of GossipSub over the XRP Ledger
causality-and-experimentation
Portfolio projects on Data Analysis, Data Visualization and Machine Learning
DR_distributional_test
This repo contains the code for the paper "Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects"
Causal_ML_For_EEG
Diagnosis and Causal Analysis of Depression Based on EEG Features and Machine Learning: 对EEG脑电信号与抑郁症关系的因果分析
causal_data_science
Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)
causal-inference
Learning and exploration through causal inference topics