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NSF

Past Events

2013 Presentations

  1.  “Hierarchical Bayesian Spatio-Temporal Conway-Maxwell Poisson Models with Dynamic Dispersion,” 6th International Conference of the ERCIM, London, England, December 2013 (S.H. Holan).
  2. “A Reduced Rank Model for Analyzing Multivariate Spatial Datasets,” University of Missouri-Kansas City, November 2013 (J.R. Bradley).
  3. "Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models," North Carolina State University, November 2013 (Scott Holan).
  4. “Statistical science: A tale of two unknowns.” The Seventh E.A. Cornish Memorial Lecture, South Australian Branch of the Statistical Society of Australia Inc., Adelaide, Australia, October 2013 (N. Cressie).
  5. "Recent Advances in Spatial Methods for Federal Surveys," NISS Workshop: Geospatial Methods for Federal Surveys, Washington D.C., September 2013 (Scott Holan).
  6. “Nonlinear Dynamic Spatio-Temporal Statistical Models.” Invited keynote lecture: Third Workshop on Bayesian Inference and Latent Gaussian Models with Applications, Reykjavik, Iceland, September 13, 2013 (C.K. Wikle).
  7.  “Flexible Semiparametric Hierarchical Spatial Models.” Joint Statistical Meetings, Montreal, Canada, August 2013 (A.T. Porter).
  8. "Hierarchical Bayesian Spatio—Temporal Conway—Maxwell Poisson Models with Dynamic Dispersion," Joint Statistical Meetings, Montreal, Canada, August 2013; 59th World Statistics Congress of the International Statistical Institute (ISI), Hong Kong, China, August 2013 (S.H. Holan).
  9. “Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models,” Joint Statistical Meetings, Montreal, Canada, August 2013 (C.K. Wikle).
  10. “Statistics for Spatio-Temporal Data: New Challenges.” Invited Roundtable Discussion: Joint Statistical Meetings, Montreal, Canada, August 2013 (C.K. Wikle).
  11. “Binomial Mixture Models for Urban Ecological Monitoring Studies Using American Community Survey Demographic Covariates,” Joint Statistical Meetings, Montreal, Canada, August 2013 (G. Wu).
  12. “Bayesian inference for the Spatial Random Effects Model,” Department of Statistics, Macquarie University, Sydney, Australia, July 2013 (N. Cressie).
  13. “Bayesian Modeling in the Era of Big Data: the Role of High-Throughput and High-Performance Computing” Poster Presentation: The Extreme Science and Engineering Discovery Environment Conference, San Diego California, July 2013 (G. Wu).
  14. “Hierarchical Bayesian Spatio-Temporal Conway-Maxwell Poisson Models with Dynamic Dispersion.” 23rd Annual Conference of The International Environmetrics Society, Anchorage, Alaska, June 2013 (C.K. Wikle).
  15. “Nonlinear Dynamic Spatio-Temporal Statistical Models.” Southern Regional Council on Statistics Summer Research Conference, June 2013 (C.K. Wikle).
  16. “Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates. “ NCRN Spring Meeting, May 2013 (A.T. Porter). 
  17. “Statistics and the Environment: Overview and Challenges.” Invited Introductory Overview Lecture: 41st Annual Meeting of the Statistical Society of Canada, Edmonton, Alberta, Canada, May 2013 (C.K. Wikle).
  18. “Some Historical Remarks on Spatial Statistics.” Spatio-Temporal Statistics Reading Group, University of Missouri, Columbia, MO, April 2013 (N. Cressie).
  19. "Ecological Prediction with Nonlinear Multivariate Time—Frequency Functional Data Models," University of Connecticut, April 2013 (S.H. Holan).
  20. “Comparing and Selecting Predictors Using Local Criteria.” International Workshop on Recent Advances in Statistical Inference: Theory and Case Studies, Padua, Italy, March 2013 (N. Cressie).
  21. “Inference for Count Data Using the Spatial Random Effects Model.” Joint seminar between the Department of Mathematical Sciences and the Department of Geography, University of Cincinnati, Cincinnati, OH, December 2012; Australasian Applied Statistics Conference 2012, Queenstown, New Zealand, December 2012; Goulburn Research Fellows Meeting, Goulburn, Australia, March 2013 (N. Cressie).
  22. "A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys," Institute of Public Policy and the Truman School of Public Affairs, University of Missouri, March 2013 (S.H. Holan).