References in zbMATH (referenced in 57 articles , 1 standard article )

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  1. Dörr, Philip; Ebner, Bruno; Henze, Norbert: A new test of multivariate normality by a double estimation in a characterizing PDE (2021)
  2. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  3. Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer: varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models (2021) arXiv
  4. Allard, Denis; Emery, Xavier; Lacaux, Céline; Lantuéjoul, Christian: Simulating space-time random fields with nonseparable Gneiting-type covariance functions (2020)
  5. Azaïs, Jean-Marc; Chassan, Malika: Discretization error for the maximum of a Gaussian field (2020)
  6. Ben Youngman: evgam: An R package for Generalized Additive Extreme Value Models (2020) arXiv
  7. Claudia Cappello, Sandra De Iaco, Donato Posa: covatest: An R Package for Selecting a Class of Space-Time Covariance Functions (2020) not zbMATH
  8. Kirsner, Daniel; Sansó, Bruno: Multi-scale shotgun stochastic search for large spatial datasets (2020)
  9. Martínez-Hernández, Israel; Genton, Marc G.: Recent developments in complex and spatially correlated functional data (2020)
  10. Olenko, Andriy; Omari, Dareen: Reduction principle for functionals of vector random fields (2020)
  11. Olenko, Andriy; Omari, Dareen: Reduction principle for functionals of strong-weak dependent vector random fields (2020)
  12. Anh, Vo; Olenko, Andriy; Vaskovych, Volodymyr: On LSE in regression model for long-range dependent random fields on spheres (2019)
  13. Baer, Daniel R.; Lawson, Andrew B.: Evaluation of Bayesian multiple stage estimation under spatial CAR model variants (2019)
  14. Buhl, Sven; Davis, Richard A.; Klüppelberg, Claudia; Steinkohl, Christina: Semiparametric estimation for isotropic max-stable space-time processes (2019)
  15. Buhl, Sven; Klüppelberg, Claudia: Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes (2019)
  16. Davis, Benjamin J. K.; Curriero, Frank C.: Development and evaluation of geostatistical methods for non-Euclidean-based spatial covariance matrices (2019)
  17. Liu, Yang; Li, Jingfa; Sun, Shuyu; Yu, Bo: Advances in Gaussian random field generation: a review (2019)
  18. Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun: ExaGeoStatR: A Package for Large-Scale Geostatistics in R (2019) arXiv
  19. Bernardi, Mara S.; Carey, Michelle; Ramsay, James O.; Sangalli, Laura M.: Modeling spatial anisotropy via regression with partial differential regularization (2018)
  20. Hall, Eric Joseph; Katsoulakis, Markos A.: Robust information divergences for model-form uncertainty arising from sparse data in random PDE (2018)

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