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Mean square convergence for estimators of additive regression under random censorship

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Publication:868980
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DOI10.1016/j.crma.2006.12.002zbMath1106.62037OpenAlexW2008105806MaRDI QIDQ868980

Vivian Viallon, Mohammed Debbarh

Publication date: 26 February 2007

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2006.12.002


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)


Related Items

Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data, Testing additivity in nonparametric regression under random censorship



Cites Work

  • Unnamed Item
  • Additive regression and other nonparametric models
  • Prediction from randomly right censored data
  • Additive time series: The kernel integration method
  • Nonparametric regression with censored covariates
  • Density estimation in \(\mathbb{L}^\infty\) norm for mixing processes
  • Nonparametric Estimation from Incomplete Observations
  • A LIL type result for the product limit estimator
  • Versions of Kernel-Type Regression Estimators
  • A kernel method of estimating structured nonparametric regression based on marginal integration
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