References in zbMATH (referenced in 254 articles , 1 standard article )

Showing results 1 to 20 of 254.
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  1. Cantarella, Giulio E.; Fiori, Chiara: Day-to-day dynamic multivehicle assignment: deterministic process models (2021)
  2. de Langlard, Mathieu; Lamadie, Fabrice; Charton, Sophie; Debayle, Johan: Bayesian inference of a parametric random spheroid from its orthogonal projections (2021)
  3. Dussap, Florian: Anisotropic multivariate deconvolution using projection on the Laguerre basis (2021)
  4. Hamm, Arran; Hazelton, Paul; Thompson, Suzanna: On Ramsey and star-critical Ramsey numbers for generalized fans versus (n K_m) (2021)
  5. Hazelton, M. L.; Mcveagh, M. R.; van Brunt, B.: Geometrically aware dynamic Markov bases for statistical linear inverse problems (2021)
  6. Rattihalli, R. N.; Patil, S. B.: Data dependent asymmetric kernels for estimating the density function (2021)
  7. Tokdar, Surya T.; Martin, Ryan: Bayesian test of normality versus a Dirichlet process mixture alternative (2021)
  8. Abareshi, M.: Maximum probability O-D matrix estimation in large-sized networks (2020)
  9. Bertin, Karine; Klutchnikoff, Nicolas; Léon, Jose R.; Prieur, Clémentine: Adaptive density estimation on bounded domains under mixing conditions (2020)
  10. Borrajo, M. I.; González-Manteiga, W.; Martínez-Miranda, M. D.: Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates (2020)
  11. Cronie, Ottmar; Moradi, Mehdi; Mateu, Jorge: Inhomogeneous higher-order summary statistics for point processes on linear networks (2020)
  12. Flagg, Kenneth A.; Hoegh, Andrew; Borkowski, John J.: Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies (2020)
  13. Levin, Michael W.; Duell, Melissa; Waller, S. Travis: Arrival time reliability in strategic user equilibrium (2020)
  14. Liu, Ge; Craigmile, Peter F.; Herbei, Radu: A study of the data augmentation strategy for stochastic differential equations (2020)
  15. McSwiggan, Greg; Baddeley, Adrian; Nair, Gopalan: Estimation of relative risk for events on a linear network (2020)
  16. Pitombeira-Neto, Anselmo Ramalho; Loureiro, Carlos Felipe Grangeiro; Carvalho, Luis Eduardo: A dynamic hierarchical Bayesian model for the estimation of day-to-day origin-destination flows in transportation networks (2020)
  17. Qiao, Wanli: Asymptotics and optimal bandwidth for nonparametric estimation of density level sets (2020)
  18. Soize, Christian; Ghanem, Roger G.; Desceliers, Christophe: Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (2020)
  19. Sun, Chao; Chang, Yulin; Luan, Xin; Tu, Qiang; Tang, Wenyun: Origin-destination demand reconstruction using observed travel time under congested network (2020)
  20. Sun, Yiguo: The LLN and CLT for U-statistics under cross-sectional dependence (2020)

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