Taking causal inference to the extreme!
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
Simple Nonparametric Reinforcement Learning with Universal Interface
Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
Tool for generating random variables that follows given frequency distibution using linear regressions in given intervals.
An Open-Source Python framework for Locally Weighted Regression and Classification, built on PyTorch and Scikit-Learn
[NopaPy] Shi Yi Ge Kai Yuan Yi Yong De Fei Can Shu Tong Ji PythonKu .
Samples of my work in programming and data analysis.
This project examines how weather and seasonal factors shape U.S. electricity consumption using parametric GLMs and nonparametric Random Forest. It then incorporates state and lag features to build stronger ensemble models and compare their performance.
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