Results 1 to 10 of about 7,054 (162)
Entropy Gap as a Measure of Epistemic Caution in Credal Sets Generated from Data [PDF]
EntropyImprecise probability models generated from data represent epistemic uncertainty by replacing the precise empirical distribution with a set of compatible probability distributions.
María Isabel A. Benítez +2 more
doaj +2 more sources
Epistemic independence for imprecise probabilities
International Journal of Approximate Reasoning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paolo Vicig
exaly +4 more sources
Simulation Foundations, Methods and Applications, 2019 This chapter explores the topic of imprecise probabilities (IP) as it relates to model validation. IP is a family of formal methods that aim to provide a better representation of severe uncertainty than is possible with standard probabilistic methods. Among the methods discussed here are using sets of probabilities to represent uncertainty, and using ...
Seamus Bradley
exaly +3 more sources
Sherlock Holmes Doesn’t Play Dice: The Mathematics of Uncertain Reasoning When Something May Happen, That You Are Not Even Able to Figure Out [PDF]
EntropyWhile Evidence Theory (also known as Dempster–Shafer Theory, or Belief Functions Theory) is being increasingly used in data fusion, its potentialities in the Social and Life Sciences are often obscured by lack of awareness of its distinctive features. In
Guido Fioretti
doaj +2 more sources
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabio Gagliardi Cozman
exaly +2 more sources
Refining Indeterministic Choice: Imprecise Probabilities and Strategic Thinking [PDF]
Vietnam Journal of Computer Science, 2020 Often, uncertainty is present in processes that are part of our routines. Having tools to understand the consequences of unpredictability is convenient. We introduce a general framework to deal with uncertainty in the realm of distribution sets that are ...
Jorge Castro +2 more
doaj +1 more source
Logics of imprecise comparative probability [PDF]
International Journal of Approximate Reasoning, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yifeng Ding +2 more
openaire +3 more sources
Robust design optimization of a renewable-powered demand with energy storage using imprecise probabilities [PDF]
E3S Web of Conferences, 2021 During renewable energy system design, parameters are generally fixed or characterized by a precise distribution. This leads to a representation that fails to distinguish between uncertainty related to natural variation (i.e. future, aleatory uncertainty)
Coppitters Diederik +2 more
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Using inferred probabilities to measure the accuracy of imprecise forecasts [PDF]
Judgment and Decision Making, 2012 Research on forecasting is effectively limited to forecasts that are expressed with clarity; which is to say that the forecasted event must be sufficiently well-defined so that it can be clearly resolved whether or not the event occurred and forecasts ...
Paul Lehner +3 more
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Entropy, 2023 In the literature on imprecise probability, little attention is paid to the fact that imprecise probabilities are precise on a set of events. We call these sets systems of precision.
Rabanus Derr, Robert C. Williamson
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