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SMAC TALKS FALL 2014
Stochastic Modeling and Computational Statistics
Stochastic Modeling and Computational Statistics
Guidelines:
- 40 minutes for each talk + 20 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- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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 29 | Runze Li | A High-Dimensional Nonparametric Multivariate Test for Mean Vector |
September 5 | seminar cancelled | |
September 12 | Kwame Kankam | Robust Parameter Design: A Penalized Likelihood Approach |
September 19 | Mark Roberts (Dept of Economics, PSU) | The new Penn State RDC |
September 26 | Michael Akritas | Projection Pursuit Multiple Index (PPMI) Models |
October 3 | Naomi Altman | Generalizing Principal Components Analysis |
October 10 | Matthew Reimherr | On prior specification for Bayesian inference |
October 17 | Kari Lock Morgan | Balancing Covariates via Propensity Score Weighting |
October 24 | No seminar (Chris Wikle's talks in stats and meteorology this week) | |
October 31 | Youngjoo Cho | Covariate adjustment using propensity scores for dependent censoring problems |
November 7 | Zita Oravecz (Human Development and Family Studies, PSU) | Insights into psychometric process modeling in the hierarchical Bayesian framework |
November 14 | Peter Molenaar (Human Development and Family Studies, PSU) | Equivalent dynamic models and the consequences for Granger causality testing |
November 21 | No talk (day before Thanksgiving break) | |
November 28 | Thanksgiving break | |
December 5 | Eugene Morgan (Dept of Energy and Mineral Engineering, PSU) | Characterizing subsurface gas through Bayesian inversion of a seismic attenuation model |
A look back at previous SMAC TALKS.