References in zbMATH (referenced in 59 articles )

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  1. Li, Moming; Diao, Guoqing: On stratified density ratio models (2022)
  2. Zhang, Huiming; Jia, Jinzhu: Elastic-net regularized high-dimensional negative binomial regression: consistency and weak signal detection (2022)
  3. Bagchi, Aniruddha; Paul, Jomon A.: National security vs. human rights: a game theoretic analysis of the tension between these objectives (2021)
  4. Berger, Moritz; Tutz, Gerhard: Transition models for count data: a flexible alternative to fixed distribution models (2021)
  5. Gao, Guangyuan; Meng, Shengwang; Shi, Yanlin: Dispersion modelling of outstanding claims with double Poisson regression models (2021)
  6. Ghorbani Gholiabad, Somayeh; Moghimbeigi, Abbas; Faradmal, Javad; Baghestani, Ahmad Reza: A multilevel zero-inflated Conway-Maxwell type negative binomial model for analysing clustered count data (2021)
  7. Peyhardi, Jean; Fernique, Pierre; Durand, Jean-Baptiste: Splitting models for multivariate count data (2021)
  8. Wick, Felix; Kerzel, Ulrich; Hahn, Martin; Wolf, Moritz; Singhal, Trapti; Stemmer, Daniel; Ernst, Jakob; Feindt, Michael: Demand forecasting of individual probability density functions with machine learning (2021)
  9. Daghyani, Masoud; Zamzami, Nuha; Bouguila, Nizar: Toward an efficient computation of log-likelihood functions in statistical inference: overdispersed count data clustering (2020)
  10. Hwang, Wen-Han; Blakey, Rachel V.; Stoklosa, Jakub: Right-censored mixed Poisson count models with detection times (2020)
  11. Jourdain, N. O. A. S.; Cole, D. J.; Ridout, M. S.; Rowcliffe, J. Marcus: Statistical development of animal density estimation using random encounter modelling (2020)
  12. Kowal, Daniel R.; Canale, Antonio: Simultaneous transformation and rounding (STAR) models for integer-valued data (2020)
  13. Lemonte, Artur J.; Moreno-Arenas, Germán; Castellares, Fredy: Zero-inflated Bell regression models for count data (2020)
  14. Rydén, Jesper: On features of fugue subjects. A comparison of J. S. Bach and later composers (2020)
  15. Weißbach, Rafael; Radloff, Lucas: Consistency for the negative binomial regression with fixed covariate (2020)
  16. Amiri, Mohammad Moqaddasi; Tapak, Leili; Faradmal, Javad: A mixed-effects least square support vector regression model for three-level count data (2019)
  17. Borges, Patrick; Godoi, Luciana G.: Pólya-Aeppli regression model for overdispersed count data (2019)
  18. Çetinkaya, Merve Kandemir; Kaçıranlar, Selahattin: Improved two-parameter estimators for the negative binomial and Poisson regression models (2019)
  19. Kim, Jeonghwan; Lee, Woojoo: On testing the hidden heterogeneity in negative binomial regression models (2019)
  20. Koyama, Shinsuke; Fujiwara, Yoshi: Modeling event cascades using networks of additive count sequences (2019)

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