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kms54
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Mon, 07/29/2019 - 14:50
SMAC TALKS FALL 2017
Stochastic Modeling and Computational Statistics
Stochastic Modeling and Computational Statistics
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- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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 | Topic |
---|---|---|
August 25 | Kei Hirano, Economics, Penn State |
Local asymptotics for point forecasting applications |
September 1 | Jogesh Babu, Statistics, Penn State | Gaussian Mixture Models |
September 8 | Likun Zhang, Statistics, (grad) Penn State | Summer Internship Discussion |
September 15 | Yifan Zhang, Marketing, (grad) Penn State | Scalable Bayesian Inference of the Hidden Markov Model |
September 22 | Krishnakumar Balasubramanian, Princeton U. | On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models |
September 29 | Qunhua Li, Statistics, Penn State | Irreproducible discovery rate regression with applications on Hi-C chromatin loops |
October 6 | No seminar (Marker Lecture) | |
October 13 | Nicholas Sterge, (grad) Statistics, Penn State | Statistical Consistency of Kernel PCA with Random Features |
October 20 | Don Richards, Statistics, Penn State | Statistical Properties of the Risk-Transfer Formula in the Affordable Care Act |
October 27 | Efstathia Bura, George Washington U. and Vienna University of Technology | Near-equivalence in Forecasting Accuracy of Linear Dimension Reduction Methods in Large Panels of Macro-variables |
November 3 | Claire Thomas, Biology, Penn State | Looking for patterns in network forming proteins |
November 10 | Xinyu Zhang, (post-doc) Statistics, Penn State | Parsimonious Model Averaging with a Diverging Number of Parameters |
November 17 | Greg Rice, Statistics, U. of Waterloo | Inference for the autocovariance of a functional time series under conditional heteroscedasticity |
November 24 | Thanksgiving break | |
December 1 | Dennis Lin, Statistics, Penn State | Ghost Data |
A look back at previous SMAC TALKS.