Stochastic Modeling and Computational Statistics, Spring 2016
Penn State Department of Statistics
This seminar and discussion series will be held Fridays 10:10am-11:00am in Thomas 327.

Guidelines:
  1. 40 minutes for each talk + 10 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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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
January 15 Raquel Assis, Biology, Penn State University Investigating the functional evolution of duplicate genes
January 22 Lingzhou Xue Joint Limiting Laws for High-Dimensional Independence Tests
January 29 Frank Shen Frequentist Methods for Non-negative Matrix Factorization
February 5 Adam Smith, Computer Science and Engineering Understanding Adaptive Statistical Analysis
February 12 Kevin Lee Model-Based Clustering for Large Scale Dynamic Networks
February 19 Yawen Guan An Efficient Projection-based Approach for Latent Gaussian Process Models
February 26 Kari Lock Morgan Revamping STAT 250: Introduction to Biostatistics
March 4 Wayne Moorehead, Forensic Science Forensic Science and Statistics - A Path Forward
March 11 No seminar (spring break)
March 18 No seminar (grad student recruitment week)
March 25 Sanjay Srinivasan, Energy and Mineral Engineering Spatial Pattern Statistics – Inference and Modeling via the Indicator Formalism
April 1 Eric Ford, Astronomy and Astrophysics Frontiers of Planet Hunting: Efficient Samplers for Parameter Estimation and Model Comparison
April 8 John Fricks Scientific and Statistical Challenges of Multiple Molecular Motor Systems
April 15 Bahaeddin Taoufik Nonlinear Additive Function-on-Function Regression
April 22 Debmalya Nandy Covariate Information Matrix and Dimension Reduction
April 29 Daisy Philtron Combining data types in cell biology and genetics: A three groups approach to treating Parkinson's disease


Previous SMAC talks