xiaoruizhu Goto Github PK

adpqmle

Adaptive Quasi Maximum Likelihood Estimation of GARCH models

bjutsharing

A presentation at Beijing University of Technology

blog

Xiaorui (Jeremy) Zhu's Personal Blog Site

causalimpact

An R package for causal inference in time series

convdbn

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-mining-business-analytics

Data mining for business analytics

data-mining-r

A set of notes for undergraduate and graduate data mining class in Lindner College of Business.

data-wrangling

data wrangling

dataclean

DataClean package

dpmm

Dirichlet Process Mixture Model

forecasting-and-time-series-methods

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

garch

learning-python-from-coursera

Learning Python from Coursera, Exercises

machine-learning

Machine Learning materials

markdown-css-themes

A collection of css themes for Markdown

microsoft-r-open

Microsoft R Open Source

passo

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.

pytesser

Automatically exported from code.google.com/p/pytesser

python_learning

All the materials for Python learning.

quantitative-finance

R functions that I use on a daily basis to analyze intraday stock price movements

r-source

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

scikit-learn: machine learning in Python

shiny-auth0

Auth0 shiny proxy, used for my website

shiny-dashboard

spsp

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.

surrogatersq

R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared

xiaoruizhu.github.io

UC personal website: xiaoruizhu.github.io