Search results for " Statistics and Probability"

showing 10 items of 117 documents

On the Multifractal Character of the Lorenz Attractor

1992

A detailed analysis of the Lorenz attractor in connection with generalized dimensions is presented in this work. Different methods have been employed to estimate these dimensions. Two of them are of standard type. A new method, based on the minimal spanning tree of the point distribution, is extensively tested in this work. It turns out that the Lorenz attractor is very appropriate for being analyzed through this technique, which produces a very clean estimate of the extrema scaling indices α min and α max . The different methods give qualitatively the same result: The Lorenz attractor has a multifractal character

PhysicsRössler attractorMathematics::Dynamical SystemsPhysics and Astronomy (miscellaneous)Multifractal systemPhysics::Data Analysis; Statistics and ProbabilityLorenz systemMinimum spanning treeNonlinear Sciences::Chaotic DynamicsCharacter (mathematics)Hausdorff dimensionAttractorStatistical physicsScalingProgress of Theoretical Physics
researchProduct

Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

2015

Objectives: We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. Methods: The presence of redundancy and/or synergy in multivariate time series data renders difficult to estimate the neat flow of information from each driver variable to a given target. We show that adopting an unnormalized definition of Granger causality one may put in evidence redundant multiplets of variables influencing the target by maximizing the total Granger causality to a given target, over all the possible partitions of the set of driving variables. Consequently we introduce a pairwise index of synergy which is zero when two in…

FOS: Computer and information sciencesgranger causality (GC)Multivariate statisticsComputer scienceRestComputer Science - Information TheoryBiomedical EngineeringsynergyFOS: Physical sciencescomputer.software_genre01 natural sciences03 medical and health sciences0302 clinical medicineGranger causality0103 physical sciencesConnectomeRedundancy (engineering)HumansBrain connectivityTime series010306 general physicsModels StatisticalHuman Connectome ProjectResting state fMRIredundancybusiness.industryInformation Theory (cs.IT)functional magnetic resonance imaging (fMRI)BrainPattern recognitionComplex networkMagnetic Resonance ImagingVariable (computer science)Physics - Data Analysis Statistics and ProbabilityQuantitative Biology - Neurons and CognitionFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPairwise comparisonNeurons and Cognition (q-bio.NC)Artificial intelligenceData miningNerve Netbusinesscomputer030217 neurology & neurosurgeryData Analysis Statistics and Probability (physics.data-an)
researchProduct

Effects of Lévy noise on the dynamics of sine-Gordon solitons in long Josephson junctions

2015

We numerically investigate the generation of solitons in current-biased long Josephson junctions in relation to the superconducting lifetime and the voltage drop across the device. The dynamics of the junction is modelled with a sine-Gordon equation driven by an oscillating field and subject to an external non-Gaussian noise. A wide range of $\alpha$-stable L\'evy distributions is considered as noise source, with varying stability index $\alpha$ and asymmetry parameter $\beta$. In junctions longer than a critical length, the mean switching time (MST) from superconductive to the resistive state assumes a values independent of the device length. Here, we demonstrate that such a value is direc…

PhysicsJosephson effectStatistics and ProbabilityCondensed Matter - SuperconductivityDynamics (mechanics)large deviations in non-equilibrium systemsLarge deviations in non-equilibrium systems; mesoscopic systems (theory); metastable states; stochastic processes (theory); Statistics and Probability; Statistical and Nonlinear Physics; Statistics Probability and UncertaintyStatistical and Nonlinear Physicsstochastic processes (theory)metastable state01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasLevy noiseQuantum mechanicsLarge deviations in non-equilibrium systemmesoscopic systems (theory)Condensed Matter::Superconductivitymetastable states0103 physical scienceslarge deviations in non-equilibrium systems; mesoscopic systems (theory); metastable states; stochastic processes (theory)SineStatistics Probability and Uncertainty010306 general physicsStatistical and Nonlinear Physic
researchProduct

Observation of time-invariant coherence in a room temperature quantum simulator

2015

The ability to live in coherent superpositions is a signature trait of quantum systems and constitutes an irreplaceable resource for quantum-enhanced technologies. However, decoherence effects usually destroy quantum superpositions. It has been recently predicted that, in a composite quantum system exposed to dephasing noise, quantum coherence in a transversal reference basis can stay protected for indefinite time. This can occur for a class of quantum states independently of the measure used to quantify coherence, and requires no control on the system during the dynamics. Here, such an invariant coherence phenomenon is observed experimentally in two different setups based on nuclear magnet…

Quantum PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics - Data Analysis Statistics and ProbabilityMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesNuclear Experiment (nucl-ex)Quantum Physics (quant-ph)Nuclear ExperimentData Analysis Statistics and Probability (physics.data-an)
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

Girsanov Theorem for Multifractional Brownian Processes

2017

In this article we will present a new perspective on the variable order fractional calculus, which allows for differentiation and integration to a variable order, i.e. one differentiates (or integrates) a function along the path of a regularity function. The concept of multifractional calculus has been a scarcely studied topic within the field of functional analysis in the last 20 years. We develop a multifractional derivative operator which acts as the inverse of the multifractional integral operator. This is done by solving the Abel integral equation generalized to a multifractional order. With this new multifractional derivative operator, we are able to analyze a variety of new problems,…

Statistics and ProbabilityMathematics - Functional AnalysisModeling and SimulationProbability (math.PR)FOS: MathematicsPhysics::Data Analysis; Statistics and ProbabilityVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Mathematics - ProbabilityFunctional Analysis (math.FA)
researchProduct

A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope.

2011

An algorithm is presented, that provides a fast and robust reconstruction of neutrino induced upward-going muons and a discrimination of these events from downward-going atmospheric muon background in data collected by the ANTARES neutrino telescope. The algorithm consists of a hit merging and hit selection procedure followed by fitting steps for a track hypothesis and a point-like light source. It is particularly well-suited for real time applications such as online monitoring and fast triggering of optical follow-up observations for multi-messenger studies. The performance of the algorithm is evaluated with Monte Carlo simulations and various distributions are compared with that obtained …

Optical telescopesAMANDASelection proceduresRobust reconstructionMonte Carlo methodAtmospheric muonsReal-time applicationNeutrino telescope01 natural sciencesHigh Energy Physics - ExperimentFast algorithmsHigh Energy Physics - Experiment (hep-ex)High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsDetectorMonte Carlo SimulationMonte Carlo methodsComputer simulationLIGHTddc:540Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaAlgorithmAlgorithmsFLUXOnline monitoring[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescopeFOS: Physical sciencesTrack reconstructionOptical telescopeNuclear physicsMuon tracks0103 physical sciencesAngular resolutionLight sources010306 general physicsOptical follow-upDETECTORInstrumentation and Methods for Astrophysics (astro-ph.IM)MuonANTARESneutrino telescope; track reconstruction010308 nuclear & particles physicsCharged particlesTrack (disk drive)track reconstructionAstronomy and Astrophysics[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Physics - Data Analysis Statistics and ProbabilityFISICA APLICADAATMOSPHERIC NEUTRINOSNeutrino telescopesSYSTEMData Analysis Statistics and Probability (physics.data-an)
researchProduct

Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
researchProduct

Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
researchProduct

Study and Comparison of Surface Roughness Measurements

2014

Journées du Groupe de Travail en Modélisation Géométrique (GTMG'14), Lyon; This survey paper focus on recent researches whose goal is to optimize treatments on 3D meshes, thanks to a study of their surface features, and more precisely their roughness and saliency. Applications like watermarking or lossy compression can benefit from a precise roughness detection, to better hide the watermarks or quantize coarsely these areas, without altering visually the shape. Despite investigations on scale dependence leading to multi-scale approaches, an accurate roughness or pattern characterization is still lacking, but challenging for those treatments. We think there is still room for investigations t…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]watermarking.quality assessmentsaliencywatermarking[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]simplificationvisual perceptionsmoothing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingfeature-preservingcompression[ PHYS.PHYS.PHYS-DATA-AN ] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]multi-scale analysisvisual masking3D mesh[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]roughness[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
researchProduct