Data Processing and Plotting

An R Package Designed to Make Life Easier for Doing EDA in R

Processing and Plotting DATA with R package “dppbar”

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Current Project

Identify Factors Leading to Popular Online News

Please find information about Current Project I am working on:

Links to our Poster and Report

In this project we mainly deal with identifing factors, such as publish day and number of words in tile, that will lead to online news with more shares. The dataset we use can be found at UCI Machine Learning repository. Distinguished fron previous research on this dataset, our main focus is not prediction, but the inverse problem instead. We want to develop a model with satisfiable accuracy but from which we can tell which factors or interaction of facotrs have more impact on the shares of online news.
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Jizhou Kang

Ph.D. Candidate in Statistics, University of California, Santa Cruz

Department of Statistics, Baskin School of Engineering

Biography

Jizhou Kang is a Ph.D. candidate in Statistics at University of California, Santa Cruz. He is currently taking advanced courses in statistics and computer science, such as classical and Bayesian inference, computational statistics and data mining. Meanwhile, he is seeking research projects in Bayesian causal inference and Bayesian nonparameteric.

During his spare time, Jizhou has multiple hobbies. He is open to all kinds of sports and extremly interested in badminton. He is really good at cooking and recently start a new hobby as photography.

Interests

  • Bayesian Causal Inference
  • Bayesian Neural Network
  • Computer Model Inference

Education

  • Ph.D. Candidate in Statistics, Start 2019

    University of California, Santa Cruz

  • M.S.E. Applied Mathematics and Statistics, 2018

    Johns Hopkins University

  • B.S. Honored Science Program (Math), 2016

    Xi'an Jiaotong University

Skills

Statistics

70%

R

80%

Python

60%

Sports

50%

Photography

10%

Cooking

100%

Contact

  • 831 295 0055
  • 1156 High Street, Santa Cruz, CA, 95060, United States
  • Engineering 2 Building