Masthead
NSF

Past Events

2015 Presentations

  1. “Soil Property Estimation and Design for Agroecosystem Management using Hierarchical Geospatial Functional Data Models.” Environmental Protection Agency; Washington DC; March 2015 (S.H. Holan).
  2. “Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis.” University of Illinois; Urbana-Champaign IL; April 2015 (S.H. Holan).
  3. “Models for Multiscale Spatially-Referenced Count Data.” NCRN Spring Meeting, National Academy of Science; Washington DC; May 2015 (S.H. Holan).
  4. “Time-Frequency Estimation and Time-Frequency Functional Data Models.” Indo-US Workshop on Time Series Analysis; Pune India; May 2015 (S.H. Holan).
  5. “Hierarchcial spatio-temporal statistical models for environmental and agricultural processes.” Monsanto Fellows Meeting; St. Louis, MO; April, 2015 (C.K. Wikle).
  6. “Predictive modeling of environmental and agricultural characteristics utilizing spatio-temporal models.” The 27th annual Conference on Applied Statistics in Agriculture; Manhattan, KS; April, 2015 (C.K. Wikle).
  7. “Using quadratic nonlinear statistical emulators to facilitate ocean biogeochemical data assimilation.” Midwest Mathematics and Climate Conference; University of Kansas, Lawerence, KS; May, 2015 (C.K. Wikle).
  8. “Regionalization of multiscale spatial processes using a criterion for spatial aggregation error.” NCRN Spring Meeting, National Academy of Science; Washington DC; May, 2015 (C.K. Wikle).
  9. “Efficient Parameterizations for Multiscale Multivariate Spatio-Temporal Data.” Big Data Workshop: PIMS at the University of British Columbia; Vancouver, BC; May, 2015 (J.R. Bradley).
  10. “Training undergraduates, graduate students, postdocs, and Federal agencies: Methodology, data, and science for Federal Statistics.” NCRN Spring Meeting, National Academy of Science; Washington DC; May 2015 (N. Cressie).
  11. “Spatio-temporal data fusion for big data and its application to remote sensing.” Workshop on High-Dimensional Time Series in Macroeconomics and Finance; Vienna, Austria; May 2015 (N. Cressie).
  12. “Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors.” International Chinese Statistical Association (ICSA) Applied Symposium/Graybill Conference; Fort Collins, CO; June, 2015 (S.H. Holan).
  13. “Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis.” Joint Statistical Meetings; Seattle, WA; June, 2015 (S.H. Holan).
  14. “Environmental informatics: Discussion of the plenary presentation by Noel Cressie.” Invited discussant, Southern Regional Council on Statistics Summer Research Conference; Carolina Beach, NC; June, 2015 (C.K. Wikle).
  15. “Efficient Parameterizations for Multiscale Multivariate Spatio-Temporal Data.” Joint Statistical Meetings; Seattle, WA; August, 2015 (C.K. Wikle).
  16. “Small-Area Estimation for High-Dimensional Multivariate Spatio-Temporal Count Data.” Joint Statistical Meetings; Seattle, WA; August, 2015 (J.R. Bradley).
  17. "Environmental Informatics: From design to inference to decisions." Southern Regional Committee on Statistics Research Conference; Carolina Beach, NC; July, 2015 (N. Cressie).
  18. "A conditional approach to multivariate spatial modelling." Department of Statistical Methods, Universidade Federal do Rio de Janeiro Brazil; July, 2015 (N. Cressie).
  19. "Census data on mean Usual Weekly Income: Regression and simultaneous autoregression when the dataset is large," NCRN Fall Meeting, US Bureau of Labor Statistics (Invited Paper), Washington DC, December 2015 (N. Cressie).
  20. "A conditional approach to multivariate spatial modelling," Statistical Seminar Series, US Bureau of Labor Statistics (Invited Speaker), Washington DC, December 2015 (N. Cressie).