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News

Fall 2016

STSN Presentations

  1. "The Cepstral Model for Multivariate Time Series: The Vector Exponential Model," NBER-NSF Time Series Conference, Columbia University, NY, September 2016 (S.H. Holan).
  2. "Recent developments in nonlinear dynamic spatio-temporal models" (an overview). Invited speaker, Department of Statistics, University of Georgia, Athens, GA, January 2016 (C.K. Wikle).
  3. "Hierarchical spatio-temporal statistical methods for environmental, agricultural and federal statistics applications," ESRI Spatio-Temporal Statistics Summit. Redlands, CA, February 2016 (C.K. Wikle).

Summer 2016

STSN Presentations

  1. "Small Area Estimation for High-Dimensional Non-Gaussian Dependent Data." Joint Statistical Meetings, Chicago, IL, August 2016 (J.R. Bradley).
  2. "Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process." International Chinese Statistical Association, Atlanta, GA, June 2016 (J.R. Bradley).
  3. "A Bayesian Approach to Multivariate Signal Extraction," Joint Statistical Meetings, Chicago, IL, August 2016 (C. Hasset).
  4. "Multivariate Spatio-Temporal Models for High-Dimensional Areal Data with Application to Longitudinal Employer-Household Dynamics," ISBIS 2016 Meeting on Statistics in Business and Industry, Barcelona, Spain, June 2016; Small Area Estimation Conference, Maastricht, The Netherlands, August 2016 (S.H. Holan)..
  5. "Spatio-Temporal Change of Support With Application to American Community Survey Multi-Year Period Estimates," Joint Statistical Meetings, Chicago IL, August 2016 (S.H. Holan).
  6. "Panel Session on New Developments in Small Area Estimation," Small Area Estimation Conference (Invited Panelist), Maastricht, The Netherlands, August 2016 (S.H. Holan).
  7. "A Multivariate Spatio-Temporal Model for U.S. Migration," Joint Statistical Meetings, Chicago, IL, August 2016 (T. Oswald).
  8. "Spatiotemporal Modeling with Applications to Stroke Mortality and Data Privacy," Joint Statistical Meetings, Chicago, IL, August 2016 (H. Quick).
  9. "Particle Swarm Optimization - Assisted Metropolis Hastings Algorithms," Joint Statistical Meetings, Chicago, IL, August 2016 (M.W. Simpson).

Spring 2016

Visitors

Fall 2015

Visitors

STSN Presentations

  1. “A conditional approach to multivariate spatial modeling,” Statistical Seminar Series at US Bureau of Labor Statistics, Washington DC, December 2015 (N. Cressie).
  2. “Census data on mean usual weekly income: Regression and simultaneous autoregression when the dataset is large,” NSF-Census Research Network Fall Meeting, US Bureau of Labor Statistics, Washington DC, December 2015 (N. Cressie).
  3. “Spatio-temporal change of support with application to American Community Survey multi-year period estimates,” NCRN Fall Meeting, Bureau of Labor Statistics, Washington D.C., December 2015 (S.H. Holan).
  4. “Recent developments for space-time modeling of public-use federal data,” Geospatial Statistics, Tools, Data, Practices, Opportunities and Challenges in the Federal Agencies (Workshop), Washington DC, October 2015 (J.R. Bradley).
  5. “Recent advances and future directions in spatial and spatio-temporal statistics for Federal data: Academic partnerships and the NCRN,” Geospatial Statistics, Tools, Data, Practices, Opportunities and Challenges in the Federal Agencies (Workshop), Washington DC, October 2015 (S.H. Holan).
  6. “Efficient parameterizations and optimal support for multiscale multivariate spatio-temporal data,” Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO, October 2015 (C.K. Wikle).
  7. “A conditional approach to multivariate spatial modeling,” School of Mathematical and Physical Sciences, University of Newcastle, Australia, September 2015 (N. Cressie).
  8. “Multivariate spatio-temporal models for high-dimensional areal data with application to Longitudinal Employer-Household Dynamics," NBER-NSF Time Series Conference, Vienna, Austria, September 2015 (S.H. Holan).
  9. “Recent advances in spatio-temporal statistical models for high-dimensional environmental data. Invited speaker: Unlocking the mysteries of the physical world with data science workshop, Columbia University Data Science Institute, September 2015 (C.K. Wikle).