References in zbMATH (referenced in 35 articles , 1 standard article )

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  1. Berger, Moritz; Tutz, Gerhard: Transition models for count data: a flexible alternative to fixed distribution models (2021)
  2. Frumento, Paolo; Salvati, Nicola: Parametric modeling of quantile regression coefficient functions with count data (2021)
  3. Jung, Yoonsuh; MacEachern, Steven N.; Joon Kim, Hang: Modified check loss for efficient estimation via model selection in quantile regression (2021)
  4. Su, Yue; Mwanakatwe, P. K.: The comparison study of the model selection criteria on the tobit regression model based on the bootstrap sample augmentation mechanisms (2021)
  5. Tchetgen Tchetgen, Eric; Sun, Baoluo; Walter, Stefan: The GENIUS approach to robust Mendelian randomization inference (2021)
  6. Umlauf, N., Klein, N., Simon, T., Zeileis, A: bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) (2021) not zbMATH
  7. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small: ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable (2020) arXiv
  8. Kowal, Daniel R.; Canale, Antonio: Simultaneous transformation and rounding (STAR) models for integer-valued data (2020)
  9. Liu, Nan-Ting; Lin, Feng-Chang; Shih, Yu-Shan: Count regression trees (2020)
  10. Athey, Susan; Tibshirani, Julie; Wager, Stefan: Generalized random forests (2019)
  11. Berger, Moritz; Tutz, Gerhard; Schmid, Matthias: Tree-structured modelling of varying coefficients (2019)
  12. Drosou, K.; Koukouvinos, C.; Lappa, A.: Sure independence screening for real medical Poisson data (2019)
  13. Gutierrez, Abraham; Müller, Sebastian: Quality analysis in acyclic production networks (2019)
  14. King, Clay; Song, Joon Jin: A Bayesian two-part quantile regression model for count data with excess zeros (2019)
  15. Toller, Maximilian; Santos, Tiago; Kern, Roman: SAZED: parameter-free domain-agnostic season length estimation in time series data (2019)
  16. Alhusseini, Fadel Hamid Hadi; Georgescu, Vasile: Bayesian composite tobit quantile regression (2018)
  17. Barros, Michelli; Galea, Manuel; Leiva, Víctor; Santos-Neto, Manoel: Generalized Tobit models: diagnostics and application in econometrics (2018)
  18. Desousa, Mário F.; Saulo, Helton; Leiva, Víctor; Scalco, Paulo: On a tobit-Birnbaum-Saunders model with an application to medical data (2018)
  19. Guo, Zijian; Kang, Hyunseung; Cai, T. Tony; Small, Dylan S.: Testing endogeneity with high dimensional covariates (2018)
  20. Joseph Rigdon, Michael Baiocchi, Sanjay Basu: Near-Far Matching in R: The nearfar Package (2018) not zbMATH

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