References in zbMATH (referenced in 22 articles , 1 standard article )

Showing results 1 to 20 of 22.
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  1. Bevilacqua, Moreno; Faouzi, Tarik; Furrer, Reinhard; Porcu, Emilio: Estimation and prediction using generalized wendland covariance functions under fixed domain asymptotics (2019)
  2. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  3. John Hughes: sklarsomega: An R Package for Measuring Agreement Using Sklar's Omega Coefficient (2018) arXiv
  4. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  5. Bevilacqua, M.; Fassò, A.; Gaetan, C.; Porcu, E.; Velandia, D.: Covariance tapering for multivariate Gaussian random fields estimation (2016)
  6. Furrer, Reinhard; Bachoc, François; Du, Juan: Asymptotic properties of multivariate tapering for estimation and prediction (2016)
  7. Vepakomma, Praneeth; Elgammal, Ahmed: A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system (2016)
  8. Bevilacqua, Moreno; Gaetan, Carlo: Comparing composite likelihood methods based on pairs for spatial Gaussian random fields (2015)
  9. Martin Schlather; Alexander Malinowski; Peter Menck; Marco Oesting; Kirstin Strokorb: Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields (2015) not zbMATH
  10. Simone Padoan; Moreno Bevilacqua: Analysis of Random Fields Using CompRandFld (2015) not zbMATH
  11. Millo, Giovanni: Maximum likelihood estimation of spatially and serially correlated panels with random effects (2014)
  12. Duncan Lee: CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors (2013) not zbMATH
  13. Hirano, Toshihiro; Yajima, Yoshihiro: Covariance tapering for prediction of large spatial data sets in transformed random fields (2013)
  14. Tilman Davies; David Bryant: On Circulant Embedding for Gaussian Random Fields in R (2013) not zbMATH
  15. Furrer, Reinhard; Genton, Marc G.: Aggregation-cokriging for highly multivariate spatial data (2011)
  16. Greasby, Tamara A.; Sain, Stephan R.: Multivariate spatial analysis of climate change projections (2011)
  17. Kaufman, Cari G.; Bingham, Derek; Habib, Salman; Heitmann, Katrin; Frieman, Joshua A.: Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology (2011)
  18. Sain, Stephan R.; Furrer, Reinhard; Cressie, Noel: A spatial analysis of multivariate output from regional climate models (2011)
  19. Cooley, Daniel; Sain, Stephan R.: Spatial hierarchical modeling of precipitation extremes from a regional climate model (2010)
  20. Reinhard Furrer; Stephan Sain: spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields (2010) not zbMATH

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