Search results for "Conditional"

showing 10 items of 294 documents

Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography

2018

The gold standard method to monitor heart rate variability (HRV) comprises measuring the time series of interbeat interval durations from electrocardiographic (ECG) recordings. However, due to the widespread use, simplicity and usability of photoplethysmographic (PPG) techniques, monitoring pulse rate variability (PRV) from pulse wave recordings has become a viable alternative to standard HRV analysis. The present study investigates the accuracy of PRV, measured as a surrogate of HRV, for the quantification of descriptive indexes computed in the time domain (mean, variance), frequency domain (low-to-high frequency power ratio LF/HF, HF band central frequency) and information domain (entropy…

Supine positionEntropy0206 medical engineeringBiomedical EngineeringHealth Informatics02 engineering and technologySettore ING-INF/01 - ElettronicaRobust regressionElectrocardiography03 medical and health sciences0302 clinical medicineHeart RatePhotoplethysmogramStatisticsHumansHeart rate variabilityTime domainPhotoplethysmographyMathematicsConditional entropyReproducibility of Results020601 biomedical engineeringFrequency domainSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E Informatica030217 neurology & neurosurgeryInterbeat interval
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Assessment of qualitative judgements for conditional events in expert systems

1991

business.industryComputer scienceConditional events; qualitative probabilities.; linear and nonlinear systems; numerical probabilities; coherenceConditional eventsqualitative probabilitiesExpert elicitationConditional probability distributioncomputer.software_genreMachine learningExpert systemcoherencenumerical probabilitieslinear and nonlinear systemsArtificial intelligencebusinesscomputer
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Conditional reasoning by mental models: chronometric and developmental evidence

2000

The aim of this article is to verify two predictions resulting from the mental models theory of conditional reasoning. First, the denial of antecedent (DA) and modus tollens (MT) inferences should take longer to verify than modus ponens (MP) and affirmation of consequent (AC) because the former require subjects to flesh out the initial model whereas the latter do not. This prediction was confirmed in two reaction time experiments in adults. In line with Evans' proposal (Evans, J. St. B. T. (1993). The mental model theory of conditional reasoning: critical appraisal and revision. Cognition, 48, 1-20), there was a strong directionality effect: inferences from antecedent to consequent (MP and …

AdultLinguistics and LanguageAdolescentAntecedent (logic)Cognitive NeuroscienceInferenceExperimental and Cognitive PsychologyCognitionConditional reasoningLanguage and LinguisticsModus tollensCognitionReaction TimeDevelopmental and Educational PsychologyCognitive developmentHumansChildPsychological TheoryConstruct (philosophy)PsychologyModus ponensSocial psychologyCognitive psychologyCognition
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Generalized probabilistic modus ponens

2017

Modus ponens (from A and “if A then C” infer C) is one of the most basic inference rules. The probabilistic modus ponens allows for managing uncertainty by transmitting assigned uncertainties from the premises to the conclusion (i.e., from P(A) and P(C|A) infer P(C)). In this paper, we generalize the probabilistic modus ponens by replacing A by the conditional event A|H. The resulting inference rule involves iterated conditionals (formalized by conditional random quantities) and propagates previsions from the premises to the conclusion. Interestingly, the propagation rules for the lower and the upper bounds on the conclusion of the generalized probabilistic modus ponens coincide with the re…

Discrete mathematicsSettore MAT/06 - Probabilita' E Statistica MatematicaProbabilistic logicConjoined conditionalPrevision0102 computer and information sciences02 engineering and technologyCoherence (philosophical gambling strategy)Settore MAT/01 - Logica MatematicaModus ponen01 natural sciencesConditional random quantitieTheoretical Computer ScienceModus ponendo tollens010201 computation theory & mathematicsIterated functionComputer Science0202 electrical engineering electronic engineering information engineeringIterated conditional020201 artificial intelligence & image processingRule of inferenceModus ponensCoherenceEvent (probability theory)Mathematics
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Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique

2010

We present an approach, framed in information theory, to assess nonlinear causality between the subsystems of a whole stochastic or deterministic dynamical system. The approach follows a sequential procedure for nonuniform embedding of multivariate time series, whereby embedding vectors are built progressively on the basis of a minimization criterion applied to the entropy of the present state of the system conditioned to its past states. A corrected conditional entropy estimator compensating for the biasing effect of single points in the quantized hyperspace is used to guarantee the existence of a minimum entropy rate at which to terminate the procedure. The causal coupling is detected acc…

Conditional entropyStatistics and ProbabilityStochastic ProcessesInformation transferEntropyInformation TheoryEstimatorElectroencephalographyCondensed Matter PhysicInformation theoryCardiovascular Physiological PhenomenaNonlinear DynamicsMultivariate AnalysisStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRespiratory Physiological PhenomenaEntropy (information theory)Applied mathematicsEmbeddingPredictabilityTime seriesMathematicsStatistical and Nonlinear Physic
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Conjunction of Conditional Events and t-Norms

2019

We study the relationship between a notion of conjunction among conditional events, introduced in recent papers, and the notion of Frank t-norm. By examining different cases, in the setting of coherence, we show each time that the conjunction coincides with a suitable Frank t-norm. In particular, the conjunction may coincide with the Product t-norm, the Minimum t-norm, and Lukasiewicz t-norm. We show by a counterexample, that the prevision assessments obtained by Lukasiewicz t-norm may be not coherent. Then, we give some conditions of coherence when using Lukasiewicz t-norm

Frank t-norm.Settore MAT/06 - Probabilita' E Statistica MatematicaConjunction02 engineering and technologyCoherence (statistics)01 natural sciencesConjunction (grammar)Mathematics::Logic010104 statistics & probabilitySettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Product (mathematics)0202 electrical engineering electronic engineering information engineeringCalculus020201 artificial intelligence & image processing0101 mathematicsCoherenceConditional EventCounterexampleMathematics
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On Association Models Defined over Independence Graphs

1998

Conditions on joint distributions are given under which two variables will be conditionally associated whenever an independence graph does not imply a corresponding conditional independence statement. To this end the notions of parametric cancellation, of stable paths and of quasi-linear models are discussed in some detail.

Statistics and ProbabilityCombinatoricsStatement (computer science)Discrete mathematicsConditional independenceJoint probability distributionIndependence (mathematical logic)Matrix decompositionParametric statisticsCholesky decompositionMathematicsCorresponding conditionalBernoulli
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Interpreting Connexive Principles in Coherence-Based Probability Logic

2021

We present probabilistic approaches to check the validity of selected connexive principles within the setting of coherence. Connexive logics emerged from the intuition that conditionals of the form If \(\mathord {\thicksim }A\), then A, should not hold, since the conditional’s antecedent \(\mathord {\thicksim }A\) contradicts its consequent A. Our approach covers this intuition by observing that for an event A the only coherent probability assessment on the conditional event \(A|\bar{A}\) is \(p(A|\bar{A})=0\). Moreover, connexive logics aim to capture the intuition that conditionals should express some “connection” between the antecedent and the consequent or, in terms of inferences, valid…

Settore MAT/06 - Probabilita' E Statistica MatematicaNegationAntecedent (logic)Computer sciencePremiseCalculusProbabilistic logicCoherence (philosophical gambling strategy)Connection (algebraic framework)Aristotle's These Coherence Compounds of conditionals Conditional events Conditional random quantities Connexive logic Iterated conditionals Probabilistic constraints.Connexive logicEvent (probability theory)
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Simulation of BSDEs with jumps by Wiener Chaos Expansion

2016

International audience; We present an algorithm to solve BSDEs with jumps based on Wiener Chaos Expansion and Picard's iterations. This paper extends the results given in Briand-Labart (2014) to the case of BSDEs with jumps. We get a forward scheme where the conditional expectations are easily computed thanks to chaos decomposition formulas. Concerning the error, we derive explicit bounds with respect to the number of chaos, the discretization time step and the number of Monte Carlo simulations. We also present numerical experiments. We obtain very encouraging results in terms of speed and accuracy.

Statistics and ProbabilityWiener Chaos expansionDiscretizationMonte Carlo methodTime stepConditional expectation01 natural sciences010104 statistics & probabilitybackward stochastic differential equations with jumpsFOS: MathematicsApplied mathematics60H10 60J75 60H35 65C05 65G99 60H070101 mathematicsMathematicsPolynomial chaosApplied MathematicsNumerical analysis010102 general mathematicsMathematical analysista111Probability (math.PR)numerical methodCHAOS (operating system)[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Modeling and SimulationScheme (mathematics)Mathematics - Probability
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The Logic of Gift: Inspiring behavior in organizations beyond the limits of duty and exchange

2016

[EN] Giving without the expectation of reward is difficult to understand in organizational contexts. In opposition to a logic based on self-interest or a sense of duty, a "logic of gift" has been proposed as a way to understand the phenomenon of free, unconditional giving. However, the rationale behind, and effects of, this logic have been under-explored. This paper responds by first clarifying the three logics of action¿the logic of exchange, the logic of duty, and the logic of gift¿and then explains how their balanced integration promises to enhance organizational life and outcomes. Having explicated the unique character and contributions of the logic of gift, the paper further suggests p…

GenerosityEconomics and Econometricsmedia_common.quotation_subject050109 social psychologyLogic of dutyLogic of giftLogic of exchangeBenevolence0502 economics and businessGratitude0501 psychology and cognitive sciencesCenter (algebra and category theory)SociologyDutymedia_commonGratitude05 social sciencesExtremely HelpfulCOMERCIALIZACION E INVESTIGACION DE MERCADOSGeneral Business Management and AccountingManagementPhilosophyUnconditionalityBusiness ethics050203 business & management
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