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kms54
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Mon, 07/15/2019 - 14:46
SMAC TALKS FALL 2019
Stochastic Modeling and Computational Statistics
Stochastic Modeling and Computational Statistics
Fall 2019
SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM in 327 Thomas Building. Talks last 40 minutes, with time for clarification questions. The last 10 minutes are for open-ended discussion.
The general guidelines for each talk:
- 40 minutes for each talk + 10 minutes for discussion.
- The talk should be accessible to all grad students who have completed 1 year of the program.
- Informal style. For instance, chalk and blackboard talks are welcome.
- Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
- 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 30 | First Week of Class | No talk |
September 06 | Xiang Gao | Cohort study of neurological diseases |
September 13 | Hyungsuk Tak | Statistical challenges in astronomical data analyses |
September 20 | Efren Cruz Cortes | Cyberpunk Machine Learning |
September 27 | Melissa Gervais |
Using Self-organizing Maps to Characterize |
October 04 | Jia Li | Clustering under the Wasserstein Metric |
October 11 | Zhanrui Cai | A fast distribution-free conditional independence test with application to causal discovery |
October 18 | Kyongwon Kim | On Post Dimension Reduction Statistical Inference |
October 25 | Luca Insolia | A Robust Estimation Approach for Mean-Shift and Variance-Inflation Outliers |
November 01 | Stephane Guerrier | On the matching principle for simulation-based parametric inference |
November 08 | Muzi Zhang | Visualization for Interval Data |
November 15 | Zhibiao Zhao | Normality Tests for Small Sample Sizes |
November 22 | Pre-Thanksgiving | No talk |
November 29 | Thanksgiving | No talk |
December 06 | Ben Lee | PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models |
December 13 | Vincent Pisztora | Approaches to Semi-Supervised Deep Learning |
December 20 | Finals Week | No talk |
A look back at previous SMAC TALKS.