References in zbMATH (referenced in 43 articles , 1 standard article )

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  1. Anh, Vo; Olenko, Andriy; Vaskovych, Volodymyr: On LSE in regression model for long-range dependent random fields on spheres (2019)
  2. Buhl, Sven; Davis, Richard A.; Klüppelberg, Claudia; Steinkohl, Christina: Semiparametric estimation for isotropic max-stable space-time processes (2019)
  3. Buhl, Sven; Klüppelberg, Claudia: Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes (2019)
  4. Davis, Benjamin J. K.; Curriero, Frank C.: Development and evaluation of geostatistical methods for non-Euclidean-based spatial covariance matrices (2019)
  5. Liu, Yang; Li, Jingfa; Sun, Shuyu; Yu, Bo: Advances in Gaussian random field generation: a review (2019)
  6. 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
  7. Bernardi, Mara S.; Carey, Michelle; Ramsay, James O.; Sangalli, Laura M.: Modeling spatial anisotropy via regression with partial differential regularization (2018)
  8. Hall, Eric Joseph; Katsoulakis, Markos A.: Robust information divergences for model-form uncertainty arising from sparse data in random PDE (2018)
  9. Hardouin, Cécile; Cressie, Noel: Two-scale spatial models for binary data (2018)
  10. Benjamin Taylor and Barry Rowlingson: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models (2017) not zbMATH
  11. Ivanescu, Andrada E.: Adaptive inference for the bivariate mean function in functional data (2017)
  12. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  13. Sandra de Iaco: The cgeostat Software for Analyzing Complex-Valued Random Fields (2017) not zbMATH
  14. Taylor, Sarah L.; Eckley, Idris A.; Nunes, Matthew A.: Multivariate locally stationary 2D wavelet processes with application to colour texture analysis (2017)
  15. Allard, D.; Senoussi, R.; Porcu, E.: Anisotropy models for spatial data (2016)
  16. Kleiber, William: High resolution simulation of nonstationary Gaussian random fields (2016)
  17. Lavancier, Frédéric; Møller, Jesper: Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets (2016)
  18. Schlägel, Ulrike E.; Lewis, Mark A.: Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes? (2016)
  19. Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle: Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in R (2015) not zbMATH
  20. Cronie, O.; van Lieshout, M. N. M.: A (J)-function for inhomogeneous spatio-temporal point processes (2015)

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