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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]

open access: yesEntropy
While 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

Bayesian Network Based Imprecise Probability Estimation Method for Wind Power Ramp Events

open access: yesJournal of Modern Power Systems and Clean Energy, 2021
Although wind power ramp events (WPREs) are relatively scarce, they can inevitably deteriorate the stability of power system operation and bring risks to the trading of electricity market.
Yuanchun Zhao   +3 more
doaj   +1 more source

Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces

open access: yesEntropy, 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
doaj   +1 more source

Why Credences Cannot be Imprecise [PDF]

open access: yesInterdisciplinary Description of Complex Systems, 2014
Beliefs formed under uncertainty come in different grades, which are called credences or degrees of belief. The most common way of measuring the strength of credences is by ascribing probabilities to them.
Borut Trpin
doaj   +1 more source

Neutrosophic Structure of the Geometric Model with Applications [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In practical scenarios, it is common to encounter fuzzy data that contains numerous imprecise observations. The uncertainty associated with this type of data often leads to the use of interval statistical measures and the proposal of neutrosophic ...
Ahmedia Musa M. Ibrahim   +3 more
doaj   +1 more source

Using inferred probabilities to measure the accuracy of imprecise forecasts [PDF]

open access: yesJudgment 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
doaj   +3 more sources

Logics of Imprecise Comparative Probability [PDF]

open access: yes, 2021
This paper studies connections between two alternatives to the standard probability calculus for representing and reasoning about uncertainty: imprecise probability andcomparative probability.
Ding, Yifeng   +2 more
core  

An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media [PDF]

open access: yesSolid Earth, 2022
We present an efficient probabilistic workflow for the estimation of source parameters of induced seismic events in three-dimensional heterogeneous media. Our workflow exploits a linearized variant of the Hamiltonian Monte Carlo (HMC) algorithm. Compared
L. O. M. Masfara   +3 more
doaj   +1 more source

Variable Selection Bias in Classification Trees Based on Imprecise Probabilities [PDF]

open access: yes, 2005
Classification trees based on imprecise probabilities provide an advancement of classical classification trees. The Gini Index is the default splitting criterion in classical classification trees, while in classification trees based on imprecise ...
Strobl, Carolin
core   +3 more sources

Imprecise probability for non-commuting observables

open access: yesNew Journal of Physics, 2015
It is known that non-commuting observables in quantum mechanics do not have joint probability. This statement refers to the precise (additive) probability model.
Armen E Allahverdyan
doaj   +1 more source

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