Search results for " and statistics"

showing 10 items of 169 documents

Coherence between brain activation and speech envelope at word and sentence levels showed age-related differences in low frequency bands

2021

Abstract Speech perception is dynamic and shows changes across development. In parallel, functional differences in brain development over time have been well documented and these differences may interact with changes in speech perception during infancy and childhood. Further, there is evidence that the two hemispheres contribute unequally to speech segmentation at the sentence and phonemic levels. To disentangle those contributions, we studied the cortical tracking of various sized units of speech that are crucial for spoken language processing in children (4.7–9.3 years old, N = 34) and adults (N = 19). We measured participants’ magnetoencephalogram (MEG) responses to syllables, words, and…

Brain activationmagnetoencephalographymedicine.medical_specialtySpeech perceptionLow frequencyAudiologyauditory responsesspeech perception050105 experimental psychologykuulohavainnot03 medical and health sciences0302 clinical medicinekielellinen kehitysmedicine0501 psychology and cognitive sciences[SHS.LANGUE]Humanities and Social Sciences/LinguisticsdevelopmentEnvelope (waves)[SHS.STAT]Humanities and Social Sciences/Methods and statisticsMEGmedicine.diagnostic_test05 social sciencesMagnetoencephalographyCoherence (statistics)[SCCO.LING]Cognitive science/Linguisticsspeech trackingcoherencehavaintopsykologiapuhe (puhuminen)[SCCO.PSYC]Cognitive science/PsychologyPsychology030217 neurology & neurosurgeryWord (computer architecture)Sentence
researchProduct

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
researchProduct

La circulation des objets métalliques à l'âge du Bronze entre Rhône et Saône: utilisation d'une transformation cartographique linéaire

2006

In order to gain a better understanding of circulation flows of metal objects during the Bronze Age, and move beyond traditional distribution maps of archaeological discoveries, the authors propose a more quantitative and concise method of graphic representation, namely cartographic linear transformation. The value of the method was tested on the Saône-Rhône axis. Bronze axes, swords and daggers were recorded along a 50 km strip either side of the river axis, in order to estimate the frequency and mass of objects in “circulation”.

Bronze AgeCartography[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryCartographieRhôneArqueologíaCartographic linear transformationArchaeologyAge du Bronze[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticscirculationTransformación cartográfica linearSaôneCartografíaRódanoEdad del Bronce[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticstransformation cartographique
researchProduct

Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems

2023

AbstractTheoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from theoretical ecology, describe population dynamics generated by a specific family of IBMs, namely spatio-temporal point processes (STPPs). SCMs are spatially resolved population models formulated by a system of differential equations that approximate the dynamics of two STPP-generated summary statistics: first-order spatial cumulants (densities), and second-order spatial cumulants (spatial covariances).We exemplify how SCMs can be used i…

Cancer eco-evolutionApplied MathematicsMarkovin ketjut3122 CancersSpatial momentsMathematical oncologypopulaatiodynamiikkaAgricultural and Biological Sciences (miscellaneous)syöpäsolutIndividual-based modelsSpatio-temporal point processesModeling and Simulation111 MathematicsSannolikhetsteori och statistikonkologiamatemaattiset mallitProbability Theory and Statistics
researchProduct

On the use of fractional calculus for the probabilistic characterization of random variables

2009

In this paper, the classical problem of the probabilistic characterization of a random variable is re-examined. A random variable is usually described by the probability density function (PDF) or by its Fourier transform, namely the characteristic function (CF). The CF can be further expressed by a Taylor series involving the moments of the random variable. However, in some circumstances, the moments do not exist and the Taylor expansion of the CF is useless. This happens for example in the case of $\alpha$--stable random variables. Here, the problem of representing the CF or the PDF of random variables (r.vs) is examined by introducing fractional calculus. Two very remarkable results are o…

Characteristic function (probability theory)FOS: Physical sciencesAerospace EngineeringMathematics - Statistics TheoryOcean EngineeringProbability density functionComplex order momentStatistics Theory (math.ST)Fractional calculusymbols.namesakeIngenieurwissenschaftenFOS: MathematicsTaylor seriesApplied mathematicsCharacteristic function serieMathematical PhysicsCivil and Structural EngineeringMathematicsGeneralized Taylor serieMechanical EngineeringStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Condensed Matter PhysicsFractional calculusFourier transformNuclear Energy and EngineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsFractional calculus; Generalized Taylor series; Complex order moments; Fractional moments; Characteristic function series; Probability density function seriesddc:620Series expansionFractional momentProbability density function seriesSettore ICAR/08 - Scienza Delle CostruzioniRandom variableData Analysis Statistics and Probability (physics.data-an)
researchProduct

Reflections on Connectionist Modeling

2018

International audience

Cognition[SCCO.PSYC] Cognitive science/PsychologyPsychology Research Methods and Statistics[SCCO.PSYC]Cognitive science/PsychologyPsychology[ SCCO.PSYC ] Cognitive science/PsychologyComputingMilieux_MISCELLANEOUS
researchProduct

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality

2015

A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approaches are a model-free one (transfer entropy) and a model-based one (Granger causality). Several pitfalls are related to the presence or absence of assumptions in modeling the relevant features of the data. We tried to overcome those pitfalls using a neural network approach in which a model is built without any a priori assumptions. In this sense this method can be seen as a bridge between model-free and model-based approaches. The experiments perfo…

Cognitive NeuroscienceEntropyFOS: Physical sciencesOverfittingcomputer.software_genreMachine learningGranger causalityArtificial IntelligenceMedicine and Health SciencesEntropy (information theory)Non-uniform embeddingComputer SimulationMathematicsArtificial neural networkbusiness.industryProbability and statisticsModels TheoreticalNeural Networks (Computer)ClassificationNeural networkAlgorithmCausalityPhysics - Data Analysis Statistics and ProbabilitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityEmbeddingA priori and a posterioriTransfer entropyNeural Networks ComputerArtificial intelligenceData miningbusinesscomputerAlgorithmsNeural networksData Analysis Statistics and Probability (physics.data-an)
researchProduct

Lidar : traitement avancé des données et interprétation archéologique - cours 2016

2016

Détection[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]archéologie[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statisticsTélédétection par lidarmodèle numérique de terrainlidar
researchProduct

Do firms share the same functional form of their growth rate distribution? A statistical test

2014

We introduce a new statistical test of the hypothesis that a balanced panel of firms have the same growth rate distribution or, more generally, that they share the same functional form of growth rate distribution. We applied the test to European Union and US publicly quoted manufacturing firms data, considering functional forms belonging to the Subbotin family of distributions. While our hypotheses are rejected for the vast majority of sets at the sector level, we cannot rejected them at the subsector level, indicating that homogenous panels of firms could be described by a common functional form of growth rate distribution.

Economics and EconometricsControl and OptimizationFOS: Physical sciencesDistribution (economics)Heterogeneous firmEDF testsFOS: Economics and businessMicroeconomicsGrowth rate distribution of individual firmEconomicsmedia_common.cataloged_instanceEuropean unionScalingmedia_commonStatistical hypothesis testingSettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieStatistical Finance (q-fin.ST)EDF testbusiness.industryApplied MathematicsSettore FIS/01 - Fisica SperimentaleQuantitative Finance - Statistical FinanceProbability and statisticsVariance (accounting)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)North American Industry Classification SystemHeterogeneous firmsPhysics - Data Analysis Statistics and ProbabilityNull hypothesisbusinessData Analysis Statistics and Probability (physics.data-an)
researchProduct

La vulgarisation scientifique et les doctorants : mesure de l'engagement, exploration d'effets sur le chercheur

2018

We ask two questions: what are the factors that influence researchers’ public engagement activities (PEA)? And what are the impacts of these activities on the researcher? After presenting a historical overview of PEA, we analyze 20 surveys carried out between 1967 and 2014. We identify some global trends: PEA is generally positively perceived, researcher’s engagement is occasional but robust. Besides those trends some differences appear between studies based on theoretical models and empirical studies: the latter report complaints such as lack of time or lack of recognition, whereas theoretical-based ones challenge these statements.To further explore our two questions, we used two approache…

Effects[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.INFO]Humanities and Social Sciences/Library and information sciences[SHS.PSY]Humanities and Social Sciences/PsychologyResearchersPublic engagement activities[SHS.INFO] Humanities and Social Sciences/Library and information sciencesOutreach activitiesPhD StudentsDoctorant[SHS.PSY] Humanities and Social Sciences/Psychology[ SHS.PSY ] Humanities and Social Sciences/Psychology[SHS.STAT] Humanities and Social Sciences/Methods and statistics[ SHS.INFO ] Humanities and Social Sciences/Library and information sciencesDoctorants[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsVulgarisationEngagementMotivation[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.STAT]Humanities and Social Sciences/Methods and statisticsReflexivitySelf-reflectionCommunicationChercheursPEAEffets[ SHS.SOCIO ] Humanities and Social Sciences/SociologyBenefitsPublic Engagement with ScienceRéflexivitéBénéficesRewards
researchProduct