References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Jason Willwerscheid, Matthew Stephens: ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families (2021) arXiv
  2. Yerlikaya-Özkurt, Fatma; Taylan, Pakize; Tez, Müjgan: Estimation in the partially nonlinear model by continuous optimization (2021)
  3. Gold, David; Lederer, Johannes; Tao, Jing: Inference for high-dimensional instrumental variables regression (2020)
  4. Choi, Hosik; Poythress, J. C.; Park, Cheolwoo; Jeon, Jong-June; Park, Changyi: Regularized boxplot via convex clustering (2019)
  5. Grömping, Ulrike; Fontana, Roberto: An algorithm for generating good mixed level factorial designs (2019)
  6. Koenker, Roger; Gu, Jiaying: Comment: Minimalist (g)-modeling (2019)
  7. Liao, Lina; Park, Cheolwoo; Choi, Hosik: Penalized expectile regression: an alternative to penalized quantile regression (2019)
  8. Yu, Dengdeng; Zhang, Li; Mizera, Ivan; Jiang, Bei; Kong, Linglong: Sparse wavelet estimation in quantile regression with multiple functional predictors (2019)
  9. Adam Rahman: sdpt3r: Semidefinite Quadratic Linear Programming in R (2018) not zbMATH
  10. El Karoui, Noureddine; Purdom, Elizabeth: Can we trust the bootstrap in high-dimensions? The case of linear models (2018)
  11. Feng, Long; Dicker, Lee H.: Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions (2018)
  12. Koenker, Roger; Mizera, Ivan: Shape constrained density estimation via penalized Rényi divergence (2018)
  13. 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
  14. Roger Koenker; Jiaying Gu: REBayes: An R Package for Empirical Bayes Mixture Methods (2017) not zbMATH
  15. Bang, Sungwan; Eo, Soo-Heang; Cho, Yong Mee; Jhun, Myoungshic; Cho, HyungJun: Non-crossing weighted kernel quantile regression with right censored data (2016)
  16. Ravi Varadhan: Numerical Optimization in R: Beyond optim (2014) not zbMATH
  17. Roger Koenker and Ivan Mizera: Convex Optimization in R (2014) not zbMATH