Utilizing belief functions for the estimation of future climate change

DOI10.1016/j.ijar.2004.10.005zbMath1066.62109OpenAlexW1993976603WikidataQ58318673 ScholiaQ58318673MaRDI QIDQ2386116

Hermann Held, Elmar Kriegler

Publication date: 22 August 2005

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2004.10.005

zbMATH Keywords

Random setClimate changeBelief functionImprecise probabilityClimate sensitivityDistribution boundProbability box

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Reasoning under uncertainty in the context of artificial intelligence (68T37) Meteorology and atmospheric physics (86A10) Artificial intelligence (68T99)

Related Items (25)

Stochastic dominance with imprecise information ⋮ Representing parametric probabilistic models tainted with imprecision ⋮ Bayesian learning for a class of priors with prescribed marginals ⋮ Unifying practical uncertainty representations. I. Generalized \(p\)-boxes ⋮ Incremental discriminant analysis on interval-valued parameters for emitter identification ⋮ Frequency-calibrated belief functions: review and new insights ⋮ An interval estimator for the unmixing of mixtures with set-based source descriptions ⋮ On extreme points of p-boxes and belief functions ⋮ RISK ANALYSIS UNDER PARTIAL PRIOR INFORMATION AND NONMONOTONE UTILITY FUNCTIONS ⋮ Comonotonicity for sets of probabilities ⋮ Random sets, copulas and related sets of probability measures ⋮ Probability boxes on totally preordered spaces for multivariate modelling ⋮ On an implicit assessment of fuzzy volatility in the Black and Scholes environment ⋮ A universal approach to imprecise probabilities in possibility theory ⋮ Computing expectations with continuous \(p\)-boxes: univariate case ⋮ Dempster-Shafer theory applied to uncertainty surrounding permeability ⋮ A survey of the theory of coherent lower previsions ⋮ Adaptive management of energy transitions in long-term climate change ⋮ Joint propagation of probability and possibility in risk analysis: towards a formal framework ⋮ Practical representations of incomplete probabilistic knowledge ⋮ Risk-informed decision-making in the presence of epistemic uncertainty ⋮ Classification with support vector machines and Kolmogorov-Smirnov bounds ⋮ A CONSONANT APPROXIMATION OF THE PRODUCT OF INDEPENDENT CONSONANT RANDOM SETS ⋮ CAUTIOUS ANALYSIS OF PROJECT RISKS BY INTERVAL-VALUED INITIAL DATA ⋮ Bayesian knowledge base tuning

Uses Software

• CONOPT

Cites Work

• Equivalence of methods for uncertainty propagation of real-valued random variables
• Random sets and fuzzy interval analysis
• Probabilistic arithmetic. I: Numerical methods for calculating convolutions and dependency bounds
• Arithmetic and other operations on Dempster-Shafer structures
• CONOPT—A Large-Scale GRG Code
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Utilizing belief functions for the estimation of future climate change