References in zbMATH (referenced in 231 articles , 1 standard article )

Showing results 1 to 20 of 231.
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  1. Bertin, Karine; Klutchnikoff, Nicolas; Léon, Jose R.; Prieur, Clémentine: Adaptive density estimation on bounded domains under mixing conditions (2020)
  2. Borrajo, M. I.; González-Manteiga, W.; Martínez-Miranda, M. D.: Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates (2020)
  3. McSwiggan, Greg; Baddeley, Adrian; Nair, Gopalan: Estimation of relative risk for events on a linear network (2020)
  4. Qiao, Wanli: Asymptotics and optimal bandwidth for nonparametric estimation of density level sets (2020)
  5. Sun, Yiguo: The LLN and CLT for U-statistics under cross-sectional dependence (2020)
  6. Uppala, Medha; Handcock, Mark S.: Modeling wildfire ignition origins in southern California using linear network point processes (2020)
  7. West, Mike: Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions (2020)
  8. Adam E. Lanman; Bryna J. Hazelton; Daniel C. Jacobs; Matthew J. Kolopanis; Jonathan C. Pober; James E. Aguirre; Nithyanandan Thyagarajan: pyuvsim: A comprehensive simulation package for radio interferometers in python (2019) not zbMATH
  9. Béranger, B.; Duong, T.; Perkins-Kirkpatrick, S. E.; Sisson, S. A.: Tail density estimation for exploratory data analysis using kernel methods (2019)
  10. Berchuck, Samuel I.; Mwanza, Jean-Claude; Warren, Joshua L.: Diagnosing glaucoma progression with visual field data using a spatiotemporal boundary detection method (2019)
  11. Bon, Joshua J.; Murray, Kevin; Turlach, Berwin A.: Fitting monotone polynomials in mixed effects models (2019)
  12. Camara, Marcus Vinicius Oliveira; Ribeiro, Glaydston Mattos: The support unit location problem to road traffic surveys with multi-stages (2019)
  13. Cheng, Gang; Chen, Yen-Chi: Nonparametric inference via bootstrapping the debiased estimator (2019)
  14. Coeurjolly, Jean-François; Reynaud-Bouret, Patricia: A concentration inequality for inhomogeneous Neyman-Scott point processes (2019)
  15. Davies, Tilman M.; Lawson, Andrew B.: An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates (2019)
  16. Dehghani, Azam; Vahidi-Asl, Mohammad Q.: A quadrat neighborhood estimator for intensity function of point processes (2019)
  17. Demirdjian, Levon; Mojirsheibani, Majid: Kernel classification with missing data and the choice of smoothing parameters (2019)
  18. Doss, Charles R.; Wellner, Jon A.: Inference for the mode of a log-concave density (2019)
  19. Gandy, Axel; Veraart, Luitgard Anna Maria: Adjustable network reconstruction with applications to CDS exposures (2019)
  20. Gudkov, Aleksandr Aleksandrovich; Mironov, Sergeĭ Vladimirovich; Sidorov, Sergeĭ Petrovich; Tyshkevich, Sergeĭ Viktorovich: A dual active set algorithm for optimal sparse convex regression (2019)

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