Results 21 to 30 of about 964,661 (301)
Transitive Reasoning with Imprecise Probabilities [PDF]
, 2015 We study probabilistically informative (weak) versions of transitivity, by using suitable definitions of defaults and negated defaults, in the setting of coherence and imprecise probabilities. We represent p-consistent sequences of defaults and/or negated defaults by g-coherent imprecise probability assessments on the respective sequences of ...
Angelo Gilio +2 more
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Variable Selection Bias in Classification Trees Based on Imprecise Probabilities [PDF]
, 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 ...
Carolin Strobl, Strobl, Carolin
core +1 more source
A Technical Note on the Dirichlet-Multinomial Model [PDF]
, 2012 This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior to the Multinomial sample distribution as resulting from the general construction method described, e.g., in Bernardo and Smith (2000).
Walter, Gero
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Comparison of Two New Robust Parameter Estimation Methods for the Power Function Distribution. [PDF]
PLoS ONE, 2016 Estimation of any probability distribution parameters is vital because imprecise and biased estimates can be misleading. In this study, we investigate a flexible power function distribution and introduced new two methods such as, probability weighted ...
Muhammad Shakeel +4 more
doaj +1 more source
Sequential Probability Ratio Test for Fuzzy Hypotheses Testing with Vague Data
Austrian Journal of Statistics, 2016 In hypotheses testing, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which both hypotheses and observations are imprecise. In this paper, we redefine some concepts about fuzzy hypotheses testing, and
Hamzeh Torabi, Javad Behboodian
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Probabilistic satisfiability with imprecise probabilities
International Journal of Approximate Reasoning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pierre Hansen +4 more
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Energy Reports, 2023 Probabilistic power flow is one of the fundamental tools for assessing the impacts of uncertainties on the operating states of power systems. However, this analysis requires sufficient historical data to obtain precise probability distributions of input ...
Chenxu Wang +3 more
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An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media [PDF]
Solid 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
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Imprecise Uncertain Reasoning: A Distributional Approach
Frontiers in Psychology, 2018 The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic that is based on probability distributions. It shows how distributions are combined with logical operators and how distributions propagate in inference ...
Gernot D. Kleiter
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Uncertainty Multi-source Information Fusion for Intelligent Flood Risk Analysis Based on Random Set Theory [PDF]
International Journal of Computational Intelligence Systems, 2012 Information fusion has been a hot topic currently, how to make information fusion for intelligent decision is a challenge. Although the applications of random set theory attract many researchers, the probability function distribution is still imprecise ...
Yajuan Xie +3 more
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