Results 51 to 60 of about 1,723,855 (80)

Conditional Sentences: ELT typology and corpus evidence. [PDF]

open access: yes, 2003
This paper presents the findings of a pilot study examining the representation of the typology of conditional sentences presented in English language teaching (ELT) materials (coursebooks and grammars) in a random sample of 1,000 conditional sentences ...
Gabrielatos, Costas   +1 more
core  

RISK BALANCING STRATEGIES IN THE FLORIDA DAIRY INDUSTRY: AN APPLICATION OF CONDITIONAL VALUE AT RISK [PDF]

open access: yes
Legislation has prompted changes in milk price volatility. Milk price volatility impacts the producer's exposure to business risk which is compound by the firms financial risk. Financial risk is a function of the firms capital structure. In the short run
Zylstra, Michael J.   +2 more
core  

Probability Inequalities with Imprecise Previsions

open access: yes
We investigate how various well known probability inequalities extend to lower and upper previsions. Our focus is especially on Markov’s, Bhatia-Davis, Jensen’s and Cantelli’s inequalities.
Pelessoni, Renato, Vicig, Paolo
core   +1 more source

Join Coherent Previsions

open access: yes, 2008
We prove that the theory of coherent previsions by Bruno de Finetti can be framed in the theory of join systems, where a join system is a set with a hyperoperation satisfying a given set of “geometric” properties.
MATURO, Antonio
core  

Augoregressive Conditional Kurtosis [PDF]

open access: yes
This paper proposes a new model for autoregressive conditional heteroscedasticity and kurtosis. Via a time-varying degrees of freedom parameter, the conditional variance and conditional kurtosis are permitted to evolve separately. The model uses only the
Simon P. Burke   +2 more
core  

Testing for Mean-Coherent Regular Risk Spanning [PDF]

open access: yes
Coherent risk measures have received considerable attention in the recent literature.Coherent regular risk measures form an important subclass: they are empirically identifiable, and, when combined with mean return, they are consistent with second order ...
Melenberg, B., Polbennikov, S.Y.
core  

Modeling Decisions in AI: Re-thinking Linda in Terms of Coherent Lower and Upper Conditional Previsions

open access: yesLecture Notes in Computer Science, 2020
In this paper, the model of coherent upper and lower conditional previsions is proposed to represent preference orderings and equivalences between random variables that human beings consider consciously or unconsciously when making decisions. To solve the contradiction, Linda’s Problem (i.e., conjunction fallacy) is re-interpreted in terms of the ...
Alessandra Cenci   +2 more
exaly   +5 more sources

Coherent Upper Conditional Previsions and Their Integral Representation with Respect to Hausdorff Outer Measures

open access: yesAdvances in Intelligent and Soft Computing, 2010
In a metric space, a necessary and sufficient condition is given for a coherent upper conditional prevision to be uniquely represented by the Choquet integral with respect to the upper conditional probability defined by its Hausdorff outer measure.
Serena Doria, Doria Serena
exaly   +5 more sources

Coherent Upper Conditional Previsions Defined by Fractal Outer Measures to Represent the Unconscious Activity of Human Brain

open access: yesLecture Notes in Computer Science, 2023
The proceedings contain 18 papers. The special focus in this conference is on Modeling Decisions for Artificial Intelligence. The topics include: Bayesian Logistic Model for Positive and Unlabeled Data; a Goal-Oriented Specification Language for Reinforcement Learning; improved Spectral Norm Regularization for Neural Networks; preprocessing Matters ...
Bilel Selmi   +2 more
exaly   +5 more sources

Coherent Upper Conditional Previsions with Respect to Outer Hausdorff Measures and the Mathematical Representation of the Selective Attention

Communications in Computer and Information Science, 2022
Coherent upper conditional probabilities defined by Hausdorff outer measure are proposed to represent the unconscious activities of the human brain when information are given. In the model uncertainty measures are defined according to the complexity of the conditioning event that represent the given information.
Serena Doria, Doria Serena
exaly   +3 more sources

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