References in zbMATH (referenced in 40 articles )

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  1. Tank, Alex; Li, Xiudi; Fox, Emily B.; Shojaie, Ali: The convex mixture distribution: Granger causality for categorical time series (2021)
  2. Zheng, Songfeng: KLERC: kernel Lagrangian expectile regression calculator (2021)
  3. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  4. Brantley, Halley L.; Guinness, Joseph; Chi, Eric C.: Baseline drift estimation for air quality data using quantile trend filtering (2020)
  5. Im, Jongho; Morikawa, Kosuke; Ha, Hyung-Tae: A least squares-type density estimator using a polynomial function (2020)
  6. Wickramasuriya, Shanika L.; Turlach, Berwin A.; Hyndman, Rob J.: Optimal non-negative forecast reconciliation (2020)
  7. Boeschoten, L.; Croon, M. A.; Oberski, D. L.: A note on applying the BCH method under linear equality and inequality constraints (2019)
  8. Jin, Shaobo; Ankargren, Sebastian: Frequentist model averaging in structural equation modelling (2019)
  9. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  10. Abdelaati Daouia and Thibault Laurent and Hohsuk Noh: npbr: A Package for Nonparametric Boundary Regression in R (2017) not zbMATH
  11. David Ardia; Kris Boudt; Jean-Philippe Gagnon-Fleury: RiskPortfolios: Computation of Risk-Based Portfolios in R (2017) not zbMATH
  12. Lavancier, Frédéric; Rochet, Paul: A tutorial on estimator averaging in spatial point process models (2017)
  13. Nagler, Thomas; Schellhase, Christian; Czado, Claudia: Nonparametric estimation of simplified vine copula models: comparison of methods (2017)
  14. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (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. Tutz, Gerhard; Petry, Sebastian: Generalized additive models with unknown link function including variable selection (2016)
  17. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  18. Ding, Jianhua; Zhang, Zhongzhan: Convex analysis in the semiparametric model with Bernstein polynomials (2015)
  19. Härdle, Wolfgang Karl; Hlávka, Zdeněk: Multivariate statistics. Exercises and solutions (2015)
  20. Nicolas Turenne: svcR: An R Package for Support Vector Clustering improved with Geometric Hashing applied to Lexical Pattern Discovery (2015) arXiv

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