# Stats Notes

# Bayesian Statistics · Machine Learning · Project · Presentation

From August 2015 to present, I did some projects, read some good papers, learned some machine learning methods and made some presentations. To prevent forgetting, I revisit what I did and write down notes.

- 2020/04/05 Support Vector Machine (SVM)-theory and application in R and Python
- 2020/04/04 k-Nearst Neighbor (k-NN)
- 2020/01/27 Class note: Stat 950 machine learning-theory and application (keep updating)
- 2020/01/14 Stat341: Biometrics II in 2020 Spring (Keep updating)
- 2019/09/27 Decision Tree
- 2019/07/31 Presentation in Joint Statistical Meetings (JSM)
- 2019/04/30 Model Selection Criteria
- 2019/04/18 Bayesian Linear Model
- 2019/02/10 Multivariate Bayesian Variable Selection and Prediction
- 2018/05/09 Bayesian Reduced Rank Regression in Econometrics
- 2017/12/15 EMVS: The EM Approach to Bayesian Variable Selection
- 2017/04/17 Approaches for Bayesian Variable Selection (SSVS)
- 2016/11/01 A presentation of application of MC simulation to PK data