References in zbMATH (referenced in 43 articles , 1 standard article )

Showing results 1 to 20 of 43.
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  1. Kereta, Željko; Klock, Timo: Estimating covariance and precision matrices along subspaces (2021)
  2. Vono, Maxime; Dobigeon, Nicolas; Chainais, Pierre: Asymptotically exact data augmentation: models, properties, and algorithms (2021)
  3. Alkhairy, Ibrahim; Low-Choy, Samantha; Murray, Justine; Wang, Junhu; Pettitt, Anthony: Quantifying conditional probability tables in Bayesian networks: Bayesian regression for scenario-based encoding of elicited expert assessments on feral pig habitat (2020)
  4. Baladram, Mohammad Samy; Obata, Nobuaki: The elements of multi-variate analysis for data science (2020)
  5. Bu, Xianwei; Majumdar, Dibyen; Yang, Jie: D-optimal designs for multinomial logistic models (2020)
  6. Idais, Osama: A note on locally optimal designs for generalized linear models with restricted support (2020)
  7. Stoner, Oliver; Economou, Theo: An advanced hidden Markov model for hourly rainfall time series (2020)
  8. Yin, Zanhua: Variable selection for sparse logistic regression (2020)
  9. Balabdaoui, Fadoua; Durot, Cécile; Jankowski, Hanna: Least squares estimation in the monotone single index model (2019)
  10. Guastavino, Sabrina; Benvenuto, Federico: A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery (2019)
  11. Özkale, M. Revan: The (r)-(d) class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses (2019)
  12. Afsana-Al-Sharmin; Islam, M. Ataharul: Generalized Weibull linear models for type-I censoring data (2018)
  13. Dobson, Annette J.; Barnett, Adrian G.: An introduction to generalized linear models (2018)
  14. Dzupire, Nelson Christopher; Ngare, Philip; Odongo, Leo: A Poisson-gamma model for zero inflated rainfall data (2018)
  15. Kurosawa, Takeshi; Suzuki, Nobuhiro: Asymptotic distribution of regression correlation coefficient for Poisson regression model (2018)
  16. Li, Dengkui; Mei, Changlin: SiZer inference for generalized varying coefficient models (2018)
  17. Vinci, Giuseppe; Ventura, Valérie; Smith, Matthew A.; Kass, Robert E.: Adjusted regularization of cortical covariance (2018)
  18. Zhang, Chun-Xia; Zhang, Jiang-She; Wang, Guan-Wei; Ji, Nan-Nan: A novel bagging approach for variable ranking and selection via a mixed importance measure (2018)
  19. Bertsimas, Dimitris; King, Angela: Logistic regression: from art to science (2017)
  20. Moffatt, Joanne L.; Scarf, Phil: Sequential regression measurement error models with application (2016)

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