Skip to main content

Stochastic Modeling and Computational Statistics


  1. 40 minutes for each talk + 20 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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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.
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.