References in zbMATH (referenced in 36 articles )

Showing results 1 to 20 of 36.
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  1. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  2. Brantley, Halley L.; Guinness, Joseph; Chi, Eric C.: Baseline drift estimation for air quality data using quantile trend filtering (2020)
  3. Im, Jongho; Morikawa, Kosuke; Ha, Hyung-Tae: A least squares-type density estimator using a polynomial function (2020)
  4. Boeschoten, L.; Croon, M. A.; Oberski, D. L.: A note on applying the BCH method under linear equality and inequality constraints (2019)
  5. Jin, Shaobo; Ankargren, Sebastian: Frequentist model averaging in structural equation modelling (2019)
  6. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  7. Abdelaati Daouia and Thibault Laurent and Hohsuk Noh: npbr: A Package for Nonparametric Boundary Regression in R (2017) not zbMATH
  8. David Ardia; Kris Boudt; Jean-Philippe Gagnon-Fleury: RiskPortfolios: Computation of Risk-Based Portfolios in R (2017) not zbMATH
  9. Lavancier, Frédéric; Rochet, Paul: A tutorial on estimator averaging in spatial point process models (2017)
  10. Nagler, Thomas; Schellhase, Christian; Czado, Claudia: Nonparametric estimation of simplified vine copula models: comparison of methods (2017)
  11. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  12. Bang, Sungwan; Eo, Soo-Heang; Cho, Yong Mee; Jhun, Myoungshic; Cho, HyungJun: Non-crossing weighted kernel quantile regression with right censored data (2016)
  13. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  14. Ding, Jianhua; Zhang, Zhongzhan: Convex analysis in the semiparametric model with Bernstein polynomials (2015)
  15. Härdle, Wolfgang Karl; Hlávka, Zdeněk: Multivariate statistics. Exercises and solutions (2015)
  16. Nicolas Turenne: svcR: An R Package for Support Vector Clustering improved with Geometric Hashing applied to Lexical Pattern Discovery (2015) arXiv
  17. Schollmeyer, Georg; Augustin, Thomas: Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data (2015)
  18. Ernesto Birgin; Jose Martínez; Marcos Raydan: Spectral Projected Gradient Methods: Review and Perspectives (2014) not zbMATH
  19. Frey, Jesse: Bootstrap confidence bands for the CDF using ranked-set sampling (2014)
  20. Köllmann, Claudia; Bornkamp, Björn; Ickstadt, Katja: Unimodal regression using Bernstein-Schoenberg splines and penalties (2014)

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