Winter 2019 Seminars

Seminar participants will take turns presenting papers of their choice, with up to two papers being presented each week. Unless otherwise noted, all seminars are held in the Network Science Lab (Bldg 434, room 122) at 1:00 pm on Mondays.

Winter 2019 will focus on causal inference. A reading list has been posted on Gauchospace. 

Enrollment code (CMPSC 595J): 09233 (Instructor: Ambuj Singh)




Date

Paper/Presentation Title

Presenter

Jan 14

Seminar Overview Prof. Ambuj Singh

Jan 28

Causal inference in statistics: An overview, J. Pearl, Statistics Surveys Vol. 3 (2009) 96–146 Yuning Shen
  Alon Albalak

Feb 4

Types of Causality and the do operator Prof. Ambuj Singh
Causal inference in statistics: An overview, (continued from Jan 28) Richika Sharan

Feb 11

Causal inference in statistics: An overview, (continued from Feb 4) David Bernadett
"Causal Inference," from Advanced Data Analysis from an Elementary Point of View, by Shalizi. Vania Wang and Archana Rajendran

Feb 25

"Causal Inference," from Advanced Data Analysis from an Elementary Point of View, by Shalizi. Chandana Upadhyaya
  Nidhi Hiremath

Mar 4

Chapter 1, Actual Causailty, by Halpern.   Aneesha Mathur
Chapter 2, Actual Causailty, by Halpern. Adam Schmidt

Mar 11

Twitter Sentiment Analysis: How to Hedge Your Bets in the Stock Markets, by Rao and Srivastava. James Bird
Chapter 9, Statistical Analysis of fMRI Data, by Ashby. Sikun Lin

Mar 18

Identification of causal effects using instrumental variables, by Angrist, Imbens, and Rubin. Kevin Smith
Economic shocks and civil conflict: An instrumental variables approach, by Satyanath and Sergenti. Su Burtner