Work

Probabilistic Formulations for Transferring Inferences from Mathematical Models to Physical Systems

Year: 2004

Type: article

Abstract: We outline a probabilistic framework for linking mathematical models to the physical systems that they represent, taking account of all sources of uncertainty including model and simulator imperfections. This framework is a necessary precondition for making probabilistic statements about the system on the basis of evaluations of computer simulators. We distinguish simulators according to their quality and the nature of their inputs. Where necessary, we introduce further hypothetical simulators as modelling constructs to account for imperfections in the available simulators and to unify the available simulators with the underlying system.

Source: SIAM Journal on Scientific Computing

DOI: 10.1137/s106482750342670x

Authors: Michael Goldstein, Jonathan Rougier

Institution: Durham University

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Natural Environment Research Council

Award: G1443680234