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Properties of the posterior distribution of a regression model based on Gaussian random fields

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Publication:462083
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DOI10.1134/S0005117913100056zbMath1303.62033MaRDI QIDQ462083

E. V. Burnaev, A. A. Zaitsev, Vladimir Spokoiny

Publication date: 15 October 2014

Published in: Automation and Remote Control (Search for Journal in Brave)



Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)


Related Items

Large scale variable fidelity surrogate modeling, Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions, Critical dimension in profile semiparametric estimation, Properties of the Bayesian parameter estimation of a regression based on Gaussian processes



Cites Work

  • Approximate Bayesian inference for large spatial datasets using predictive process models
  • Applications of kernel ridge estimation to the problem of computing the aerodynamical characteristics of a passenger plane (in comparison with results obtained with artificial neural networks)
  • Parametric estimation. Finite sample theory
  • Bayesian Calibration of Computer Models
  • Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
  • Unnamed Item
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