References in zbMATH (referenced in 335 articles )

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  1. Dabo-Niang, Sophie; Thiam, Baba: Kernel regression estimation with errors-in-variables for random fields (2020)
  2. Marklof, Jens: Pair correlation and equidistribution on manifolds (2020)
  3. 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)
  4. Li, Qiwei; Wang, Xinlei; Liang, Faming; Xiao, Guanghua: A Bayesian mark interaction model for analysis of tumor pathology images (2019)
  5. Lledó, Josep; Pavía, Jose M.; Morillas-Jurado, Francisco G.: Incorporating big microdata in life table construction: A hypothesis-free estimator (2019)
  6. Mahmoud, Hamdy F. F.; Kim, Inyoung: Semiparametric spatial mixed effects single index models (2019)
  7. Wikle, Christopher K.; Ver Hoef, Jay M.: A conversation with Noel Cressie (2019)
  8. Bivand, Roger S.; Wong, David W. S.: Comparing implementations of global and local indicators of spatial association (2018)
  9. Ceyhan, Elvan: A contingency table approach based on nearest neighbour relations for testing self and mixed correspondence (2018)
  10. Chen, Fen; Zou, Bin; Chen, Na: The consistency of least-square regularized regression with negative association sequence (2018)
  11. Reinhart, Alex: A review of self-exciting spatio-temporal point processes and their applications (2018)
  12. Stotsky, Jay Alexander; Dukic, Vanja; Bortz, David M.: A point process model for generating biofilms with realistic microstructure and rheology (2018)
  13. Tao, Long; Weber, Karoline E.; Arai, Kensuke; Eden, Uri T.: A common goodness-of-fit framework for neural population models using marked point process time-rescaling (2018)
  14. van Lieshout, M. N. M.: Nonparametric indices of dependence between components for inhomogeneous multivariate random measures and marked sets (2018)
  15. Yang, Eunho; Lozano, Aurélie C.; Aravkin, Aleksandr: A general family of trimmed estimators for robust high-dimensional data analysis (2018)
  16. Zheng, Yuchen; Serban, Nicoleta: Clustering the prevalence of pediatric chronic conditions in the United States using distributed computing (2018)
  17. Baddeley, Adrian; Hardegen, Andrew; Lawrence, Thomas; Milne, Robin K.; Nair, Gopalan; Rakshit, Suman: On two-stage Monte Carlo tests of composite hypotheses (2017)
  18. Benedetti, Roberto; Espa, Giuseppe; Taufer, Emanuele: Model-based variance estimation in non-measurable spatial designs (2017)
  19. Ceyhan, Elvan: Cell-specific and post-hoc spatial clustering tests based on nearest neighbor contingency tables (2017)
  20. Lledó, Josep; Pavía, Jose M.; Morillas, Francisco G.: Assessing implicit hypotheses in life table construction (2017)

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