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Workshop on Statistical Approaches for the Evaluation of Complex Computer Models

  • Richard A. Berk
  • , Peter Bickel
  • , Katherine Campbell
  • , Robert Fovell
  • , Sallie Keller-McNulty
  • , Elizabeth Kelly
  • , Rodman Linn
  • , Byungkyu Park
  • , Alan Perelson
  • , Nagui Rouphail
  • , Jerome Sacks
  • , Frederic Schoenberg
  • University of California at Los Angeles
  • University of California at Berkeley

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

As decision- and policy-makers come to rely increasingly on estimates and simulations produced by computerized models of the world, in areas as diverse as climate prediction, transportation planning economic policy and civil engineering, the need for objective evaluation of the accuracy and utility of such models likewise becomes more urgent. This article summarizes a two-day workshop that took place in Santa Fe, New Mexico in December 1999, whose focus was the evaluation of complex compute models. Approximately half of the workshop was taken up with formal presentation of four computer models by their creators, each paired with an initial assessment by a statistician. These prepared papers are presented, in shortened form, in Section 3 of this paper. The remainder of the workshop was devoted to introductory and summary comments, short contributed descriptions of related models and a great deal of floor discussion which was recorded by assigned rapporteurs. These are presented in Sections 2 and 4 in the paper. In the introductory and concluding sections we attempt to summarize the progress made by the workshop and suggest next steps.

Original languageEnglish
Pages (from-to)173-192
Number of pages20
JournalStatistical Science
Volume17
Issue number2
DOIs
StatePublished - May 2002

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