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  • 标题:Comment on article by Sanso et al
  • 本地全文:下载
  • 作者:Dave Higdon ; James Gattiker
  • 期刊名称:Bayesian Analysis
  • 印刷版ISSN:1931-6690
  • 电子版ISSN:1936-0975
  • 出版年度:2008
  • 卷号:03
  • 期号:01
  • 页码:39-44
  • 出版社:International Society for Bayesian Analysis
  • 摘要:Sanso, Forest and Zantedeschi (SFZ) have presented an excellent analysis that combines limited computer simulations with historical observations to provide inference about key climate system parameters. The Bayesian formulation used in this analysis allows the incorporation of a number of di erent sources of uncertainty in the nal inference. We appreciate such a collaboration requires a substantial amount of e ort from all involved. There is not much to criticize here. Most of our comments, which are motivated by the case study, apply generally to analyses involving the calibration of a physics-based simulation model using physical observations.
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