Browsing University of Missouri Node by Title

Now showing items 1-4 of 4

    • Asymptotic Theory of Cepstral Random Fields 

      McElroy, T.S.; Holan, S.H. (Annals of Statistics, 2013)
      Random fields play a central role in the analysis of spatially correlated data and, as a result,have a significant impact on a broad array of scientific applications. Given the importance of this topic, there has been a ...

    • The NSF-Census Research Network in 2016: Taking stock, looking forward 

      Vilhuber, Lars (2016-05-21)
      An overview of the activities of the NSF-Census Research Network as of 2016, given on Saturday, May 21, 2016, at a workshop on spatial and spatio-temporal design and analysis for official statistics, hosted by the ...

    • Presentation: Introduction to Stan for Markov Chain Monte Carlo 

      Simpson, Matthew (2017-04-25)
      An introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Presentation given at the ...

    • Summary of “Workshop on Spatial and Spatio-Temporal Design and Analysis for Official Statistics” 

      Holan, Scott H.; Cressie, Noel; Wikle, Chris K.; Bradley, Jonathan R.; Simpson, Matthew (2016-09-30)
      On Friday, May 20 and Saturday, May 21, 2016, the Spatio-Temporal StatisticsNSF Census Research Network (STSN) at the University of Missouri hosted a workshop on spatial and spatio-temporal design and analysis for official ...