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Bootstrap Confidence Intervals for Large-scale Multivariate Monotonic Regression Problems

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Publication:3178506
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DOI10.1080/03610918.2014.911899zbMath1342.62065OpenAlexW2046552974MaRDI QIDQ3178506

Oleg Sysoev, A. Grimvall, Oleg P. Burdakov

Publication date: 14 July 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.911899

zbMATH Keywords

bootstrapconfidence intervalsbig datamonotonic regressionpool-adjacent-violators algorithm


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)


Related Items

Monotonicity recovering and accuracy preserving optimization methods for postprocessing finite element solutions



Cites Work

  • Simultaneous confidence bands for isotonic functions
  • Nonparametric option pricing under shape restrictions
  • A segmentation-based algorithm for large-scale partially ordered monotonic regression
  • An Empirical Distribution Function for Sampling with Incomplete Information
  • Monotone Nonparametric Regression and Confidence Intervals
  • Unnamed Item
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