References in zbMATH (referenced in 1190 articles , 2 standard articles )

Showing results 41 to 60 of 1190.
Sorted by year (citations)

previous 1 2 3 4 5 ... 58 59 60 next

  1. Chen, Li-Pang; Yi, Grace Y.; Zhang, Qihuang; He, Wenqing: Multiclass analysis and prediction with network structured covariates (2019)
  2. Chen, Zhen-Yu; Fan, Zhi-Ping; Sun, Minghe: Individual-level social influence identification in social media: a learning-simulation coordinated method (2019)
  3. Cipolli, William III; Hanson, Timothy: Supervised learning via smoothed Polya trees (2019)
  4. Cossette, Hélène; Gadoury, Simon-Pierre; Marceau, Etienne; Robert, Christian Y.: Composite likelihood estimation method for hierarchical Archimedean copulas defined with multivariate compound distributions (2019)
  5. Creamer, Germán G.; Lee, Chihoon: A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures (2019)
  6. De Micheaux, Pierre Lafaye; Liquet, Benoît; Sutton, Matthew: PLS for Big Data: a unified parallel algorithm for regularised group PLS (2019)
  7. Denœux, Thierry; Kanjanatarakul, Orakanya; Sriboonchitta, Songsak: A new evidential (K)-nearest neighbor rule based on contextual discounting with partially supervised learning (2019)
  8. Efron, Bradley: Bayes, oracle Bayes and empirical Bayes (2019)
  9. Eftekhari, Armin; Ongie, Gregory; Balzano, Laura; Wakin, Michael B.: Streaming principal component analysis from incomplete data (2019)
  10. El-Bachir, Yousra; Davison, Anthony C.: Fast automatic smoothing for generalized additive models (2019)
  11. Feuerriegel, Stefan; Gordon, Julius: News-based forecasts of macroeconomic indicators: a semantic path model for interpretable predictions (2019)
  12. Filip, Silviu; Javeed, Aurya; Trefethen, Lloyd N.: Smooth random functions, random ODEs, and Gaussian processes (2019)
  13. Gagnon-Bartsch, Johann; Shem-Tov, Yotam: The classification permutation test: a flexible approach to testing for covariate imbalance in observational studies (2019)
  14. Galeano, Pedro; Peña, Daniel: Data science, big data and statistics (2019)
  15. Gao, Guangyuan; Meng, Shengwang; Wüthrich, Mario V.: Claims frequency modeling using telematics car driving data (2019)
  16. Gao, Guangyuan; Wüthrich, Mario V.; Yang, Hanfang: Evaluation of driving risk at different speeds (2019)
  17. Gilman, Mikhail; Tsynkov, Semyon: Detection of delayed target response in SAR (2019)
  18. Glaws, Andrew; Constantine, Paul G.: Gaussian quadrature and polynomial approximation for one-dimensional ridge functions (2019)
  19. He, Kevin; Wang, Yue; Zhou, Xiang; Xu, Han; Huang, Can: An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis (2019)
  20. Hofmeyr, David P.; Pavlidis, Nicos G.; Eckley, Idris A.: Minimum spectral connectivity projection pursuit. Divisive clustering using optimal projections for spectral clustering (2019)

previous 1 2 3 4 5 ... 58 59 60 next