Submitted by rpc5102
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SMAC TALKS SPRING 2013
Stochastic Modeling and Computational Statistics
Stochastic Modeling and Computational Statistics
Guidelines:
- 40 minutes for each talk + 20 minutes for discussion
- informal style: chalk and blackboard talks are welcome
- the talk should be accessible to all grad students who have completed 1 year of the program
- interruptions during the talk are welcome but they should only be for clarifications; other questions are to be left to discussions
- unpublished work may not be shared/discussed outside the group without the permission of the speaker/author
Date | Speaker | Topic |
---|---|---|
Jan 10 | Vishesh Karwa | An introduction to propensity score methods |
Jan 17 | No meeting | |
Jan 24 | Chia-Jung Chang (PSU Industrial Engineering) | Representation/quantification of nano-particle dispersion using non-homogeneous Poisson process |
Jan 31 | Jason Morton (Math/Stat) | Graphical hypermodels: a technique for interpolating among Bayesian network models with differing architecture |
Feb 7 | Dennis Lin | Dimensional Analysis and Statistics |
Feb 14 | No meeting | |
Feb 21 | Michael Schweinberger | Second-generation exponential-family models of networks: Scaling up |
Feb 28 | Youngjoo Cho | A Weighted Estimator of Accelerated Failure Time Model under Presence of Dependent Censoring |
Mar 7 | No meeting due to spring break | |
Mar 14 | Boaz Nadler (Weizmann Institute) | Diffusion maps, a generalization of principal components for nonlinear (non-Gaussian) data |
Mar 21 | Yu Zhang | Infinite-state HMMs for population sequencing data analysis |
Mar 28 | Don Richards | The Affinely Invariant Distance Correlation |
Apr 4 | Uday Shanbhag (PSU Industrial Engineering/Operations Research) | Stochastic approximation schemes: regularization, smoothing, and adaptive steplengths |
Apr 11 | Michael Kuhn (Astronomy) | Spatial point processes to study clusters of young stars |
Apr 18 | Won Chang | A composite likelihood approach to computer model calibration |
Apr 25 | Murali Haran | Tutorial/overview of Monte Carlo methods for spatial generalized linear mixed models |
A look back at previous SMAC TALKS.