Statistics, the Impact of Big Data

        - 60th Anniversary of the Department of Statistics (1959-2019)

Confirmed Speakers:

  1. Naomi Brownstein Multimodality Tests and Their Implementation in SAS Software
  2. Gregory Campbell Statistics for "Big Data" in Biomedicine
  3. Rao Chaganty Models for selecting differentially expressed genes in microarray experiments
  4. Larry Hart Crow Estimating System Reliability After Corrective Actions With Limited Data
  5. Kumaresh Dhara Variable Selection in Bayesian Cluster Analysis
  6. Ivo Dinov DataSifter: Sharing of Sensitive Data via Statistical Obfuscation
  7. Leif Ellingson Classification of protein binding sites using their structural information via object data analysis
  8. Billy Franks Neural Networks – Do they take human thinking out of Artificial Intelligence?
  9. Blanton Godfrey Statistical Challenges in Reducing Maternal and Child Mortality
  10. Shanti Gomatam Safety assessment via Large Cardiovascular Outcomes Trials
  11. Guanyu Hu Subsampled Bayesian Approach for Big Data
  12. Benedikt Jóhannesson Does it help to have a Ph.D. in Statistics if you become Minister of Finance?
  13. Douglas Jones Bayesian Updating of Norm Tables and Optimal Design
  14. Stephen Sauchi Lee Text Mining
  15. Xin Li Graph-Bootstrapping: applications in functional imaging of materials
  16. James Lynch A Sketch of Some Stochastic Models and Analysis Methods for Fiber Bundle Failure under Increasing Tensile Load
  17. Balasubramanian Narasimhan Tools for Convex Optimization
  18. Edsel Pena Multiple Confidence Regions
  19. Mingfei Qiu How Statistical Courses Are Applied to Our Work
  20. John Robinson An Insurance Regulator's Concerns With Data Analytics
  21. Michael Schell Identifying The Most Impactful Statistical Literature
  22. Ryan Scolnik Annual FSU Statistics Department Data Science Competition
  23. Barbara Stevens A career in statistics/data science at CIA
  24. James Derek Tucker Elastic Data Depth
  25. Michiko Wolcott Getting Started In The Culture Of Analytically Informed Decision Making
  26. Hulin Wu Big Data Challenges and Opportunities for Statisticians
  27. Yichuan Zhao Empirical likelihood for the bivariate survival function under univariate censoring