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Stochastic Modeling and Computational Statistics

Fall 2021

SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM in 327 Thomas Building and on Zoom. Talks last 40 minutes, with time for clarification questions. The last 10 minutes are for open-ended discussion.

The general guidelines for each talk: 

  1. 40 minutes for each talk + 10 minutes for discussion.
  2. The talk should be accessible to all grad students who have completed 1 year of the program.
  3. Informal style. For instance, chalk and blackboard talks are welcome.
  4. Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
  5. Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
  6. While a large proportion of the talks may be related to stochastic modeling and computing, a much broader list of topics have also been discussed in this series.




August 27 Paul Markowski How predictable are tornadoes?
September 3 Qi Zhang Dimension Reduction and Data Visualization for Fréchet Regression
September 10 Roopali Singh Reference-free Deconvolution of Spatial Transcriptomics Data
September 17 Jeremy Seeman Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism
September 24 Ian Laga A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations
October 1 Stephen Berg TBA
October 8 Jacopo Di Iorio TBA
October 15 Sakshi Arya TBA
October 22 Nicole Lazar The End of Statistical Significance?
October 29 David Hunter TBA
November 5 Yanyuan Ma TBA
November 12 Paul Medvedev TBA
November 19 No Talk  
November 26 No Talk  
December 3 Carlos Soto TBA
December 10 No Talk  

A look back at previous SMAC TALKS.