Name: Tianyang Zhang
Type: User
Company: Columbia University
Bio: PhD student at Columbia U | Causal Inference | Bayesian Statistics | Data Science | Social Science | Observational Studies | Quasi-Experimental Design
Location: New York, NY 10027
Blog: https://www.linkedin.com/in/tianyangterryzhang
Tianyang Zhang's Projects
Causal Inference using Bayesian Additive Regression Trees
Bayesian Linear Mixed Effect Models
Teaching material for Ben's Bayesian Statistics for the Social Sciences class.
An R package for causal inference in time series
Harvard Citadel Datathon 2018 Team Submission
Datathon code and report
Citadel Dublin Datathon 2nd place winning solution.
1st Place submission in the annual Citadel SoCal Data Open
Common data manipulations in different languages and frameworks.
my review folder
Discrete Bayesian Additive Regression Trees Sampler
For presentation at Columbia Data Science Club
test test test
idealstan offers Bayesian IRT models for legislature rollcall voting data that take into account absences and abstentions. In addition, standard IRT and dynamic hierarchical IRT models are included. All models are estimated in the Stan framework.
A mini course introducing the use of R for absolute beginners.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Tutorial on model assessment, model selection and inference after model selection
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks