Jeremy-Zhu's Projects
Adaptive Quasi Maximum Likelihood Estimation of GARCH models
A presentation at Beijing University of Technology
Xiaorui (Jeremy) Zhu's Personal Blog Site
An R package for causal inference in time series
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data mining for business analytics
A set of notes for undergraduate and graduate data mining class in Lindner College of Business.
data wrangling
DataClean package
Dirichlet Process Mixture Model
By Xiaorui Zhu <br /> The greatest truths are the simplest. -- Tao Te Ching <br /> Think details thoughtfully, solve as a whole elegantly. -- Xiaorui Zhu
garch
Learning Python from Coursera, Exercises
Machine Learning materials
A collection of css themes for Markdown
Microsoft R Open Source
An implementation of the unified framework for assessing Partial Association between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020), accepted by the Journal of the American Statistical Association). This package provides a set of tools to quantify, visualize, and test partial associations between multiple ordinal variables.
Automatically exported from code.google.com/p/pytesser
All the materials for Python learning.
R functions that I use on a daily basis to analyze intraday stock price movements
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
scikit-learn: machine learning in Python
Auth0 shiny proxy, used for my website
A novel approach for feature selection based on the entire solution paths rather than the choice of a single tuning parameter, which significantly improves the accuracy of the selection.
R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared
UC personal website: xiaoruizhu.github.io