References in zbMATH (referenced in 352 articles )

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  1. Brown, Paul T.; Joshi, Chaitanya; Joe, Stephen; Rue, Håvard: A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (2021)
  2. Khalil, M.; Teichert, G. H.; Alleman, C.; Heckman, N. M.; Jones, R. E.; Garikipati, K.; Boyce, B. L.: Modeling strength and failure variability due to porosity in additively manufactured metals (2021)
  3. Dabo-Niang, Sophie; Thiam, Baba: Kernel regression estimation with errors-in-variables for random fields (2020)
  4. Haaf, Julia M.; Merkle, Edgar C.; Rouder, Jeffrey N.: Do items order? The psychology in IRT models (2020)
  5. Li, Chenlong; Song, Zhanjie; Wang, Wenjun: Space-time inhomogeneous background intensity estimators for semi-parametric space-time self-exciting point process models (2020)
  6. Li, Yang; Zhu, Zhengyuan: Spatio-temporal modeling of global ozone data using convolution (2020)
  7. Marklof, Jens: Pair correlation and equidistribution on manifolds (2020)
  8. Ogata, Yosihiko: Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring (2020)
  9. Surgailis, Donatas: Scaling transition and edge effects for negatively dependent linear random fields on (\mathbbZ^2) (2020)
  10. van Lieshout, M. N. M.: Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions (2020)
  11. Vejdemo-Johansson, Mikael; Leshchenko, Alisa: Certified mapper: repeated testing for acyclicity and obstructions to the nerve lemma (2020)
  12. Xu, Meng; Reiss, Philip T.: Distribution-free pointwise adjusted (p)-values for functional hypotheses (2020)
  13. Yousefi, Ali; Amidi, Yalda; Nazari, Behzad; Eden, Uri. T.: Assessing goodness-of-fit in marked point process models of neural population coding via time and rate rescaling (2020)
  14. Bouzebda, Salim; Slaoui, Yousri: Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (2019)
  15. Buryachenko, Valeriy A.: Computational homogenization in linear elasticity of peristatic periodic structure composites (2019)
  16. Li, Qiwei; Wang, Xinlei; Liang, Faming; Xiao, Guanghua: A Bayesian mark interaction model for analysis of tumor pathology images (2019)
  17. Lledó, Josep; Pavía, Jose M.; Morillas-Jurado, Francisco G.: Incorporating big microdata in life table construction: A hypothesis-free estimator (2019)
  18. Mahmoud, Hamdy F. F.; Kim, Inyoung: Semiparametric spatial mixed effects single index models (2019)
  19. Wikle, Christopher K.; Ver Hoef, Jay M.: A conversation with Noel Cressie (2019)
  20. Bivand, Roger S.; Wong, David W. S.: Comparing implementations of global and local indicators of spatial association (2018)

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