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Showing 1 to 5 of 5 for “"imprecise probability"”.
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Imprecise probability analysis for integrated assessment of climate change
We present an application of imprecise probability theory to the quantification of uncertainty in the integrated assessment of climate change. Our work is motivated by the fact that uncertainty about climate change is pervasive, and therefore requires a thorough treatment in the integrated …
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Imprecise probability and decision in civil engineering : Dempster-Shafer theory and application
… results. More recently a general concept, called imprecise probability, which embraces a number of these methods, has been described [Walley, 1991]. Weak information is often encountered in civil engineering. This is especially true in decision making as major decisions are often dominated by …
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Multinomial Nonparametric Predictive Inference: Selection, Classification and Subcategory Data
In probability and statistics, uncertainty is usually quantified using single-valued probabilities satisfying Kolmogorov's axioms. Generalisation of classical probability theory leads to various less restrictive representations of uncertainty which are collectively referred to as imprecise …
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Methods for Rigorous Uncertainty Quantification with Application to a Mars Atmosphere Model
… missions motivate the use of the objective probability bounds approach, as opposed to the subjectivist theories which dominate uncertainty quantification in many research communities. An expanded formalism for Dempster-Shafer structures is introduced, allowing for the representation of …
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Limiting Conditional Distributions: Imprecision and Relation to the Hazard Rate
… over the non-absorbing states, then the probability distribution of the process at time n, conditioned on non-absorption, is equal for all values of n>0. Such an initial distribution is known as the quasi-stationary distribution (QSD). Thus the LCD and QSD are equal. These distributions …