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SMAC TALKS FALL 2020
Stochastic Modeling and Computational Statistics
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Fall 2020

SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM 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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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.

 

Date

Speaker

Title

August 28 Siddharth Vishwanath Topological Data Analysis
September 4 Carlos Soto An Introduction to Statistical Shape Analysis and its Applications
September 11 Margaret Hu (Penn State Law) The Big Data Constitution
September 18 Chris Jewell (Lancaster University, UK) Discrete space data augmentation for inference in stochastic spatial metapopulation epidemic models
September 25 Justin Silverman (College of IST) Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data
October 2 Nicole Lazar Statistical issues in the Analysis of Neuroimaging Data
October 9 Ilias Moysidis Joint estimation of graphical models by neighborhood selection
October 16 Stephen Berg TBD
October 23 Nachiketa Acharya (Columbia University) Does the Machine Learning-based Multi-Model Ensemble Method improve the skill of the seasonal prediction?
October 30 Ame Osotsi Training Word Representations with a Bayesian Change Point Objective
November 6 Hyebin Song Statistical challenges and opportunities in the analysis of lab-generated neutral evolution protein data
November 13 Adam Walder TBD
December 4 Patrick Drew (Huck Life Sciences) TBD

A look back at previous SMAC TALKS.