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Stochastic Modeling and Computational Statistics, Fall 2018

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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: 

  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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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 31 Michael Gechter Smart Cities and External Validity in Developing Countries
Sept. 07 Jim Lynch What is the Shape of a Bundle? An Analysis of Rosen’s Fibrous Composites Experiments Using the Chain-of-Bundles Model
Sept. 14

Matteo Coronese

Martina Calovi

The devil is in the tail: evidence of increasing trends in natural disaster risk

GFS downscaling using personal weather stations for heat wave vulnerability

Sept. 21 Eunhye Song Large-scale discrete simulation optimization using multi-resolution Gaussian Markov random fields
Sept. 28 Saurabh Bansal Concentration inequalities in data-driven optimization problems in Operations Research
Oct. 05 Owais Gilani Does accounting for human mobility affect air pollution exposure assignment in environmental health studies?
Oct. 12 Bharath Sriperumbudur Kernels and Gaussian Processes: Connections and Equivalences
Oct. 19 Marco Avella CANCELED
Oct. 26 Mucyo Karemera On the Finite Sample and Asymptotic Bias Correction Properties of Simulation-based Estimators
Nov. 02 Tobia Boschi Registering functional responses and functional predictors through canonical correlations.
Nov. 09 Beomseok  Seo Compute Mean Partition and Assess Uncertainty for Clustering Analysis
Nov. 16 Jaewoo Park A function emulation approach for doubly-intractable distributions
Nov. 23 Thanksgiving
Nov. 30 Karthik Bharath Aspects of group invariance for functional data