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R M Cooke

Biographic Data

ID11077413
NAMER M Cooke
GIVEN NAMESR M
FAMILY NAMECooke
SIGNATURECOOKE R M
AFFILIATIONSResources for the Future, Washington, DC, USA.
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS10
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2018
H-INDEX2
  • Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context

    Anca Hanea, A M Hanea et al.•ARTICLE•Journal of Risk Research•2018•Cited by: 2

    Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…

  • Expert judgement elicitation for risk assessments of critical infrastructures

    Roger Cooke, R M Cooke et al.•ARTICLE•Journal of Risk Research•2004•Cited by: 5•References: 1

    Governmental bodies and companies are confronted with the problem of achieving rational consensus in the face of substantial uncertainties. The subject area of this special issue (risk and vulnerability assessments and management of critical infrastructures) might be a good example as are risk management of chemical installations and accident consequence management for nuclear power plants. Decisions with regard to infrastructures functioning and…

  • Expert judgement and lethal toxicity of inhaled chemicals

    L H J Goossens, Roger Cooke et al.•ARTICLE•Journal of Risk Research•1998•Cited by: 3

    The application of formal expert judgement for assessing quantitative data of the toxicity of large amounts of inhaled chemical substances after a potential major hazards incident is described. In this particular application, the expert assessments were used to derive probit relations for the acute lethal effects of five hazardous substances: ammonia, acrylonitrile, hydrogen fluoride, sulphur trioxide and azinphos-methyl. The purpose of the study…

  • Expert judgement elicitation for risk assessments of critical infrastructures

    Roger Cooke, R M Cooke et al.•ARTICLE•Journal of Risk Research•2004•Cited by: 5•References: 1

    Governmental bodies and companies are confronted with the problem of achieving rational consensus in the face of substantial uncertainties. The subject area of this special issue (risk and vulnerability assessments and management of critical infrastructures) might be a good example as are risk management of chemical installations and accident consequence management for nuclear power plants. Decisions with regard to infrastructures functioning and…

  • Expert judgement and lethal toxicity of inhaled chemicals

    L H J Goossens, Roger Cooke et al.•ARTICLE•Journal of Risk Research•1998•Cited by: 3

    The application of formal expert judgement for assessing quantitative data of the toxicity of large amounts of inhaled chemical substances after a potential major hazards incident is described. In this particular application, the expert assessments were used to derive probit relations for the acute lethal effects of five hazardous substances: ammonia, acrylonitrile, hydrogen fluoride, sulphur trioxide and azinphos-methyl. The purpose of the study…

  • Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context

    Anca Hanea, A M Hanea et al.•ARTICLE•Journal of Risk Research•2018•Cited by: 2

    Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…

  • Expert judgement and lethal toxicity of inhaled chemicals

    L H J Goossens, Roger Cooke et al.•ARTICLE•Journal of Risk Research•1998•Cited by: 3

    The application of formal expert judgement for assessing quantitative data of the toxicity of large amounts of inhaled chemical substances after a potential major hazards incident is described. In this particular application, the expert assessments were used to derive probit relations for the acute lethal effects of five hazardous substances: ammonia, acrylonitrile, hydrogen fluoride, sulphur trioxide and azinphos-methyl. The purpose of the study…

  • Expert judgement elicitation for risk assessments of critical infrastructures

    Roger Cooke, R M Cooke et al.•ARTICLE•Journal of Risk Research•2004•Cited by: 5•References: 1

    Governmental bodies and companies are confronted with the problem of achieving rational consensus in the face of substantial uncertainties. The subject area of this special issue (risk and vulnerability assessments and management of critical infrastructures) might be a good example as are risk management of chemical installations and accident consequence management for nuclear power plants. Decisions with regard to infrastructures functioning and…

  • Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context

    Anca Hanea, A M Hanea et al.•ARTICLE•Journal of Risk Research•2018•Cited by: 2

    Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…

Computer Science (3 works) · Business (2 works) · Computer security (2 works) · Judgement (2 works) · Machine learning (2 works) · Operations research (2 works) · Risk analysis (engineering (2 works) · Risk and Safety Analysis (2 works) · Risk assessment (2 works) · Artificial Intelligence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae