Results 11 to 20 of about 964,661 (301)
Logics of Imprecise Comparative Probability [PDF]
International Journal of Approximate Reasoning, 2021 This paper studies connections between two alternatives to the standard probability calculus for representing and reasoning about uncertainty: imprecise probability andcomparative probability.
Icard, Thomas Frederick, III +2 more
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Integral Imprecise Probability Metrics [PDF]
CoRRQuantifying differences between probability distributions is fundamental to statistics and machine learning, primarily for comparing statistical uncertainty.
Caprio, Michele; id_orcid +2 more
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Generalized basic probability assignments [PDF]
, 2002 Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially.
Augustin, Thomas
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Forecasting with imprecise probabilities
International Journal of Approximate Reasoning, 2012 We review de Finetti’s two coherence criteria for determinate probabilities: coherence1defined in terms of previsions for a set of events that are undominated by the status quo – previsions immune to a sure-loss – and coherence2 defined in terms of forecasts for events undominated in Brier score by a rival forecast.
Teddy Seidenfeld +2 more
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Likelihood-based Imprecise Regression [PDF]
, 2011 We introduce a new approach to regression with imprecisely observed data, combining likelihood inference with ideas from imprecise probability theory, and thereby taking different kinds of uncertainty into account.
Marco E. G. V. Cattaneo +4 more
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Reasoning with imprecise probabilities
International Journal of Approximate Reasoning, 2007 This special issue of the International Journal of Approximate Reasoning (IJAR) grew out of the 4th International Symposium on Imprecise Probabilities and Their Applications (ISIPTA’05), held in Pittsburgh, USA, in July 2005 (http://www.sipta.org/isipta05). The symposium was organized by Teddy Seidenfeld, Robert Nau, and Fabio G.
Andrés Cano +2 more
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Computation with imprecise probabilities [PDF]
2008 IEEE International Conference on Information Reuse and Integration, 2008 Computation with imprecise probabilities is not an academic exercise—it is a bridge to reality. In the real world, imprecision of probabilities is the norm rather than exception. In large measure, real-world probabilities are perceptions of likelihood. Perceptions are intrinsically imprecise.
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Robust regression with imprecise data [PDF]
, 2011 We consider the problem of regression analysis with imprecise data. By imprecise data we mean imprecise observations of precise quantities in the form of sets of values.
Wiencierz, Andrea +1 more
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The aggregation of imprecise probabilities [PDF]
Journal of Statistical Planning and Inference, 2002 Imprecise probabilities are elicited from a group of experts in terms of betting rates. Two approaches to the aggregation of imprecise probabilities are presented. First, confidence-weighted lower and upper probabilities are used as the fundamental representation of uncertainty.
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A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories [PDF]
, 2006 Nonparametric Predictive Inference (NPI) is a general methodology to learn from data in the absence of prior knowledge and without adding unjustified assumptions.
Augustin, Thomas +3 more
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