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This is a graduate student-run seminar series. Aiming to provide a platform for PSTAT students, we are open to cover topics, which provoke research interests and offer information about career opportunities. During weekly meetings, students share the topics in our own research fields, learn about new materials together, and connect the ideas between textbook and real world event. Examples:

• Machine Learning
• Clinical Trials
• Markov Model
• Experience Sharing: Get a Summer Internship!

 
 

2013-2015     

Date & Time Location Presenter Topic Slides/Code* Reference**

Monday, October 28, 2013

12:00-12:50PM

Conference Room Ling Zhu Machine Learning:
Intro of Support Vector Mechine (1)

Slides
code

P.132-135

Monday, November 4, 2013

12:00-12:50PM

Sobel Room Ling Zhu Machine Learning:
Intro of Support Vector Mechine (2)
Slides
code
P.417-421

Wednesday, November 20, 2013

9:00-9:50AM

Sobel Room Ling Zhu Machine Learning:
Intro of Support Vector Mechine (3)
Slides
code
 

Friday, November 22, 2013

12:00-12:50PM

Sobel Room Fang-I Chu Experience Sharing:Get a Summer Internship! Slides
 

Thursday, February 6, 2014

12:00-12:50PM

Conference Room 5421 Fang-I Chu Research: Statistical Methods for Clinical Trials with Treatment Switching Slides
 

Thursday, February 13, 2014

12:00-12:50PM

Sobel Room Chi-Yang Chiu Research: Smoothing Splines Density Estimation Slides  

Thursday, February 20, 2014

12:00-12:50PM

Conference Room 5421 Yuqi Chen Machine Learning: Neural Network Slides
 

Thursday, February 27, 2014

12:00-12:50PM

Conference Room 5421 Jian Shi Variable Selection Methods via Penalized Likelihood and Comparison of their Properties Slides

Thursday, March 6, 2014

12:00-12:50PM

Conference Room 5421 Guest Speaker:
Yilie Wang
A Novel Local Patch Framework for Fixing Supervised Learning Models Slides
 

Thursday, March 13, 2014

12:00-12:50PM

Conference Room 5421 Ling Zhu Intro to Wavelets Slides
code

Monday, April 21, 2014

11:00-11:50AM

Sobel Room Chi-Yang Chiu    

Monday, May 5, 2014

11:00-11:50AM

Sobel Room Jian Shi Latent Dirichlet Allocation Slides

Monday, May 12, 2014

11:00-11:50AM

Sobel Room Fang-I Chu EM Algorithm Slides

Wednesday, Octorber 29, 2014

11:00-11:50AM

Conference Room 5421 Chi-Yang Chiu Experience Sharing: Job Hunting/Interviews as a statistician

Wednesday, November 12, 2014

11:00-11:50AM

Conference Room 5421 Yuqi Chen ggplot2
code
ggplot2 by Hadley Wickham

Wednesday, November 19, 2014

11:00-11:50AM

Conference Room 5421 Ling Zhu co-training algorithm
slides and code
 

Wednesday, December 3, 2014

11:00-11:50AM

Conference Room 5421 Jian Shi parallel package
slides and code
 

Tuesday, September 29, 2015

4:00-4:50PM

Conference Room 5421 Ling Zhu Parallel Computing Using Rmpi slides
code
*source: partly public code
**(1) Machine Learning: "The Element of Statistical Learning:Data Mining, Inference, and Prediction", 2nd edition,
by Trevor Hastie Robert Tibshirani Jerome Friedman

Organizing committees: Chi-Yang Chiu, Fang-I Chu, Yuqi Chen, Jingyi He, and Ling Zhu.

 
 
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