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SMAC TALKS FALL 2013
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- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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 30 | Bruce Lindsay | Using the EM algorithm to build density estimators |
September 6 | Sunghoon Kim (PSU Marketing) | A New Class of Bayesian Segmentation Methods for Deriving Heterogeneous Key Drivers of Service Quality Evaluation |
September 13 | Ephraim Hanks | The spatial Lasso and other priors for spatial random effects |
September 20 | Qunhua Li | A regression framework to assess covariate effects on the reproducibility of high-throughput experiments |
September 27 | Rashmi Bomiriya | Modelling Homophily in Bipartite Networks |
October 4 | Gregory Ryslik (Yale University School of Public Health) | Identification of Non-Random Somatic Mutation Clustering in Proteins Utilizing Tertiary Data. |
October 11 | Will Probert (postdoctoral fellow, Center for Infectious Disease Dynamics at Penn State) | A space-time model for the dynamics and control of foot and mouth disease |
October 18 | John Harlim (PSU Math/Meteorology) | Physics Constrained Nonlinear Regression Models for Time Series |
October 25 | Enrique del Castillo (PSU Industrial Engineering/Statistics) | A Geodesic Gaussian Process model for the reconstruction of 3D surfaces in manufacturing |
November 1 | Matthew Reimherr | Estimating Variance Components in Functional Linear Models |
November 8 | No talk due to Clogg lecture earlier that week | |
November 15 | Ben Shaby | Model-based Empirical Orthogonal Functions for Separating Scales of Variation |
November 22 | No talk (day before Thanksgiving break) | |
November 29 | Thanksgiving break | |
December 6 | G.P. Patil | Multivariate Ranking, Prioritization, and Selection Using Partial Order |
December 13 | Won Chang | Gaussian processes for computer model calibration with high-dimensional spatial data |
A look back at previous SMAC TALKS.