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Estimating functions evaluated by simulation: a Bayesian/analytic approach

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Publication:1296721
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DOI10.1214/aoap/1028903377zbMath0928.62055OpenAlexW2041865918MaRDI QIDQ1296721

Burton Simon, J. R. Koehler, Anatolii A. Puhalskii

Publication date: 11 January 2000

Published in: The Annals of Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoap/1028903377



Mathematics Subject Classification ID

Random fields (60G60) Optimal statistical designs (62K05) Bayesian inference (62F15) (L^p)-limit theorems (60F25)


Related Items

A supermartingale approach to Gaussian process based sequential design of experiments


Uses Software

  • spatial


Cites Work

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  • Asymptotically efficient prediction of a random field with a missspecified covariance function
  • Function approximation and integration on the Wiener space with noisy data
  • Design and analysis of computer experiments. With comments and a rejoinder by the authors
  • Multivariate integration and approximation for random fields satisfying Sacks-Ylvisaker conditions
  • Optimum Designs in Regression Problems
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