References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Gold, David; Lederer, Johannes; Tao, Jing: Inference for high-dimensional instrumental variables regression (2020)
  2. Choi, Hosik; Poythress, J. C.; Park, Cheolwoo; Jeon, Jong-June; Park, Changyi: Regularized boxplot via convex clustering (2019)
  3. Grömping, Ulrike; Fontana, Roberto: An algorithm for generating good mixed level factorial designs (2019)
  4. Koenker, Roger; Gu, Jiaying: Comment: Minimalist (g)-modeling (2019)
  5. Liao, Lina; Park, Cheolwoo; Choi, Hosik: Penalized expectile regression: an alternative to penalized quantile regression (2019)
  6. Yu, Dengdeng; Zhang, Li; Mizera, Ivan; Jiang, Bei; Kong, Linglong: Sparse wavelet estimation in quantile regression with multiple functional predictors (2019)
  7. Adam Rahman: sdpt3r: Semidefinite Quadratic Linear Programming in R (2018) not zbMATH
  8. El Karoui, Noureddine; Purdom, Elizabeth: Can we trust the bootstrap in high-dimensions? The case of linear models (2018)
  9. Feng, Long; Dicker, Lee H.: Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions (2018)
  10. Koenker, Roger; Mizera, Ivan: Shape constrained density estimation via penalized Rényi divergence (2018)
  11. Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu: cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection (2017) arXiv
  12. Roger Koenker; Jiaying Gu: REBayes: An R Package for Empirical Bayes Mixture Methods (2017) not zbMATH
  13. Bang, Sungwan; Eo, Soo-Heang; Cho, Yong Mee; Jhun, Myoungshic; Cho, HyungJun: Non-crossing weighted kernel quantile regression with right censored data (2016)
  14. Ravi Varadhan: Numerical Optimization in R: Beyond optim (2014) not zbMATH
  15. Roger Koenker and Ivan Mizera: Convex Optimization in R (2014) not zbMATH