Home > Events > SMAC Talks > Stochastic Modeling and Computational Statistics, Spring 2014

Stochastic Modeling and Computational Statistics, Spring 2014

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  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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
January 24 Special talk: Kari Lock Morgan, Duke U. Using Simulation Methods to Introduce Inference
January 31 Bing Li On an additive semigraphoid model for statistical networks with application to pathway analysiss
February 7 Xizhen Cai Variable Selection for the Proportional Odds Model
February 14 Kirsten Eilertson Sorting out Superinfection with a Coalescent Model
February 21 Piercesare Secchi (Mathematics, Polytechnic University of Milan) The Aneurisk project
February 28 Martin Tingley (Depts of Meteorology and Statistics, PSU) A quantile regression analysis of North American summertime daily T-max
March 7 no talk/Friday before spring break
March 14 no talk (spring break)
March 28 Dennis Pearl (statistics education seminar) PEA SOUP: Radical Change in Small Steps
April 4 Monia Ranalli Mixture models for ordinal data: a pairwise likelihood approach
April 11 Jon Poterjoy/Fuqing Zhang (PSU Meteorology) Ensemble filtering for highly nonlinear large-dimensional systems
April 18 Daisy Phillips A non-parametric approach to identify reproducibility in replicate experiments
April 25 Saurabh Bansal Estimating Distribution Parameters from Subjective Fractile Estimates
May 2 Lingzhou Xue Covariance Regularization in High Dimensions