zhangc927
I am an econometrics teacher in Shan Dong University of Finance and Economics, focusing on statistics, econometrics and machine learning
Shan Dong University of Finance and EconomicsJinan, Shandong, China
Pinned Repositories
abce
Agent-Based Complete Economy, the Python library that makes AB modelling easier..
adapt
Awesome Domain Adaptation Python Toolbox
aiddata
R package to download project information from AidData 3.0 API
approachingalmost
Approaching (Almost) Any Machine Learning Problem
arf_paper
Code and materials to reproduce adversarial RF paper
awesome-causality-algorithms
An index of algorithms for learning causality with data
bankruptcy_sensitivity
Behavioral-Responses
PSL module that estimates partial-equilibrium behavioral responses to tax changes simulated by Tax-Calculator
dynasim
Dynamic Microsimulation
tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
zhangc927's Repositories
zhangc927/bankruptcy_sensitivity
zhangc927/cate-estimator-selection
zhangc927/causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
zhangc927/CausalModel
CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
zhangc927/CFI_mixedData
Code for paper "Conditional Variable Importance for Mixed Data" by Kristin Blesch, David S. Watson, Marvin N. Wright (2022)
zhangc927/conquer
Convolution-type Smoothed Quantile Regression
zhangc927/conquer-1
Convolution Smoothed Quantile Regression
zhangc927/CovRegRF
zhangc927/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
zhangc927/DiD-interference
This repository implements code from research on difference-in-differences methodology in the presence of interference.
zhangc927/ds-wgan
Design of Simulations using WGAN
zhangc927/Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
zhangc927/federated-causal-inference
zhangc927/fsPDA
R package and replication files for Forward-Selected Panel Data Approach (Shi and Huang, 2021)
zhangc927/gInk
An easy to use on-screen annotation software inspired by Epic Pen.
zhangc927/htesim
zhangc927/ifedtree
ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)
zhangc927/ineqopp
zhangc927/interpret
Fit interpretable models. Explain blackbox machine learning.
zhangc927/mathtype-1
公式编辑器 -- mathtype破解版
zhangc927/ML
zhangc927/modified_DMLDiD_RCS
zhangc927/netmediate
R package to conduct micro-macro analysis using statistical network models.
zhangc927/offsetDiD
Code/Data/Figure for "Policy effect evaluation under counterfactual neighborhood intervention in the presence of spillover"
zhangc927/Py-Boost
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
zhangc927/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
zhangc927/RISE
RISE: Robust Individualized Decision Learning with Sensitive Variables (NeurIPS 2022)
zhangc927/synthdid
Synthetic difference in differences
zhangc927/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
zhangc927/Thesis_DMLDiD