References in zbMATH (referenced in 28 articles , 1 standard article )

Showing results 1 to 20 of 28.
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  1. Andrew Finley, Abhirup Datta, Sudipto Banerjee: R package for Nearest Neighbor Gaussian Process models (2020) arXiv
  2. Bevilacqua, Moreno; Faouzi, Tarik: Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics (2019)
  3. Bevilacqua, Moreno; Faouzi, Tarik; Furrer, Reinhard; Porcu, Emilio: Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (2019)
  4. Heaton, Matthew J.; Datta, Abhirup; Finley, Andrew O.; Furrer, Reinhard; Guinness, Joseph; Guhaniyogi, Rajarshi; Gerber, Florian; Gramacy, Robert B.; Hammerling, Dorit; Katzfuss, Matthias; Lindgren, Finn; Nychka, Douglas W.; Sun, Furong; Zammit-Mangion, Andrew: A case study competition among methods for analyzing large spatial data (2019)
  5. Neelon, Brian: Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures (2019)
  6. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  7. John Hughes: sklarsomega: An R Package for Measuring Agreement Using Sklar's Omega Coefficient (2018) arXiv
  8. MacNab, Ying C.: Some recent work on multivariate Gaussian Markov random fields (2018)
  9. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  10. Bevilacqua, M.; Fassò, A.; Gaetan, C.; Porcu, E.; Velandia, D.: Covariance tapering for multivariate Gaussian random fields estimation (2016)
  11. Furrer, Reinhard; Bachoc, François; Du, Juan: Asymptotic properties of multivariate tapering for estimation and prediction (2016)
  12. Vepakomma, Praneeth; Elgammal, Ahmed: A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system (2016)
  13. Bevilacqua, Moreno; Gaetan, Carlo: Comparing composite likelihood methods based on pairs for spatial Gaussian random fields (2015)
  14. Martin Schlather; Alexander Malinowski; Peter Menck; Marco Oesting; Kirstin Strokorb: Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields (2015) not zbMATH
  15. Simone Padoan; Moreno Bevilacqua: Analysis of Random Fields Using CompRandFld (2015) not zbMATH
  16. Millo, Giovanni: Maximum likelihood estimation of spatially and serially correlated panels with random effects (2014)
  17. Duncan Lee: CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors (2013) not zbMATH
  18. Hirano, Toshihiro; Yajima, Yoshihiro: Covariance tapering for prediction of large spatial data sets in transformed random fields (2013)
  19. Tilman Davies; David Bryant: On Circulant Embedding for Gaussian Random Fields in R (2013) not zbMATH
  20. Yue, Yu Ryan; Hong, Hyokyoung Grace: Bayesian tobit quantile regression model for medical expenditure panel survey data (2012)

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