Search results for "SCALE"

showing 10 items of 5180 documents

The “ThreePlusOne” Likelihood-Based Test Statistics: Unified Geometrical and Graphical Interpretations

2014

The presentation of the well known Likelihood Ratio, Wald and Score test statistics in textbooks appears to lack a unified graphical and geometrical interpretation. We present two simple graphical representations on a common scale for these three test statistics, and also the recently proposed Gradient test statistic. These unified graphical displays may favour better understanding of the geometrical meaning of the likelihood based statistics and provide useful insights into their connections.

Statistics and ProbabilityScore testInterpretation (logic)Theoretical computer scienceScale (ratio)General MathematicsLikelihood ratio Wald Score Gradient statistic geometrical interpretation graphical displaySimple (abstract algebra)Likelihood-ratio testStatisticsStatistical inferenceTest statisticStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaStatistical hypothesis testingMathematicsThe American Statistician
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The Power of Word-Frequency Based Alignment-Free Functions: a Comprehensive Large-Scale Experimental Analysis

2021

Abstract Motivation Alignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also studies regarding their control of false positive rate (Type I error). However, assessment of their power, i.e. their ability to identify true similarity, has been limited to some members of the D2 family. The corresponding experimental studies have concentrated on short sequences, a scenario no longer adequate for current applications, where sequence lengths may vary considerably. Such a State of the Art is methodologically problematic, since information regarding a key feature such as power is either mi…

Statistics and ProbabilitySequenceSimilarity (geometry)Settore INF/01 - Informaticasequence analysisComputer sciencepower statisticsAlignment-Free Genomic Analysis Big Data Software Platforms Bioinformatics AlgorithmsScale (descriptive set theory)Function (mathematics)computer.software_genreBiochemistryComputer Science ApplicationsSet (abstract data type)Computational MathematicsRange (mathematics)Computational Theory and Mathematicssequence analysis; power statistics; alignment-free functionsalignment-free functionsData miningCompleteness (statistics)Molecular BiologycomputerType I and type II errors
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Dynamics of a financial market index after a crash

2002

We discuss the statistical properties of index returns in a financial market just after a major market crash. The observed non-stationary behavior of index returns is characterized in terms of the exceedances over a given threshold. This characterization is analogous to the Omori law originally observed in geophysics. By performing numerical simulations and theoretical modelling, we show that the nonlinear behavior observed in real market crashes cannot be described by a GARCH(1,1) model. We also show that the time evolution of the Value at Risk observed just after a major crash is described by a power-law function lacking a typical scale.

Statistics and ProbabilityStatistical Finance (q-fin.ST)Index (economics)Actuarial scienceStatistical Mechanics (cond-mat.stat-mech)EconophysicsScale (ratio)Autoregressive conditional heteroskedasticityFinancial marketFOS: Physical sciencesQuantitative Finance - Statistical FinanceCrashFunction (mathematics)Condensed Matter PhysicsFOS: Economics and businessEconophysicsFinancial marketsCrashesValue at RiskEconometricsEconomicsCondensed Matter - Statistical MechanicsValue at riskPhysica A: Statistical Mechanics and its Applications
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A many-body approach to transport in quantum systems : From the transient regime to the stationary state

2022

We review one of the most versatile theoretical approaches to the study of time-dependent correlated quantum transport in nano-systems: the non-equilibrium Green's function (NEGF) formalism. Within this formalism, one can treat, on the same footing, inter-particle interactions, external drives and/or perturbations, and coupling to baths with a (piece-wise) continuum set of degrees of freedom. After a historical overview on the theory of transport in quantum systems, we present a modern introduction of the NEGF approach to quantum transport. We discuss the inclusion of inter-particle interactions using diagrammatic techniques, and the use of the so-called embedding and inbedding techniques w…

Statistics and ProbabilityTIME-DEPENDENT TRANSPORTKADANOFF-BAYM EQUATIONSGeneral Physics and AstronomyFOS: Physical sciencesnon-equilibrium Green's functionGREENS-FUNCTIONDENSITY-FUNCTIONAL THEORYCondensed Matter - Strongly Correlated ElectronsPhysics - Chemical PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)COHERENT TRANSPORTSINGLE-MOLECULEkvanttifysiikkamany-body correlationMathematical Physicsquantum transportMEAN-FIELD THEORYChemical Physics (physics.chem-ph)Quantum PhysicsANDERSON-HOLSTEIN MODELCondensed Matter - Mesoscale and Nanoscale PhysicsStrongly Correlated Electrons (cond-mat.str-el)Statistical and Nonlinear PhysicsCHARGE MIGRATIONModeling and Simulationnon-equilibrium Green’s functionQuantum Physics (quant-ph)SHOT-NOISE
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Towards next-generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics.

2020

5 páginas, 2 figuras. AVAILABILITY AND IMPLEMENTATION: The database of non-tuberculous mycobacteria assemblies can be accessed at: 10.5281/zenodo.3374377. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online: http://dx.doi.org/10.1093/bioinformatics/btz729

Statistics and ProbabilityTuberculosisGenomicsComputational biologyBiologyBiochemistryMycobacterium tuberculosis03 medical and health sciencesmedicineHumansTuberculosisDiscovery NotesMolecular Biology030304 developmental biologyComparative genomics0303 health sciences030306 microbiologyScale (chemistry)GenomicsMycobacterium tuberculosismedicine.diseasebiology.organism_classificationGenome Analysis3. Good healthComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsMycobacterium tuberculosis complexMolecular targetsIdentification (biology)BiomarkersBioinformatics (Oxford, England)
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Donsker-Type Theorem for BSDEs: Rate of Convergence

2019

In this paper, we study in the Markovian case the rate of convergence in Wasserstein distance when the solution to a BSDE is approximated by a solution to a BSDE driven by a scaled random walk as introduced in Briand, Delyon and Mémin (Electron. Commun. Probab. 6 (2001) Art. ID 1). This is related to the approximation of solutions to semilinear second order parabolic PDEs by solutions to their associated finite difference schemes and the speed of convergence. peerReviewed

Statistics and Probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Markov processType (model theory)scaled random walk01 natural sciencesconvergence rate010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityConvergence (routing)FOS: MathematicsOrder (group theory)Applied mathematicsWasserstein distance0101 mathematicsDonsker's theoremstokastiset prosessitMathematicskonvergenssiProbability (math.PR)010102 general mathematicsFinite differenceRandom walk[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Rate of convergencebackward stochastic differential equationssymbolsapproksimointiDonsker’s theoremfinite difference schemedifferentiaaliyhtälötMathematics - Probability
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GAMLSS for high-variability data: an application to liver fibrosis case

2020

In this paper, we propose management of the problem caused by overdispersed data by applying the generalized additive model for location, scale and shape framework (GAMLSS) as introduced by Rigby and Stasinopoulos (2005). The idea of using a GAMLSS approach for handling our problem comes from the idea of Aitkin (1996) consisting in the use of an EM maximum likelihood estimation algorithm (Dempster, Laird, and Rubin, 1977) to deal with overdispersed generalized linear models (GLM). As in the GLM case, the algorithm is initially derived as a form of Gaussian quadrature assuming a normal mixing distribution. The GAMLSS specification allows the extension of the Aitkin algorithm to probability d…

Statistics and Probabilitymixture models worm plot residual analysis liver diseasesScale (ratio)Generalized additive modelliver diseases mixture models residual analysis worm plotStatistical modelProbability and statisticsGeneral MedicineVariance (accounting)ResidualMixture model01 natural sciences030218 nuclear medicine & medical imaging010104 statistics & probability03 medical and health sciences0302 clinical medicineOverdispersionEconometrics0101 mathematicsStatistics Probability and UncertaintyThe International Journal of Biostatistics
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A multi-scale approach for testing and detecting peaks in time series

2020

An approach is presented that combines a statistical test for peak detection with the estimation of peak positions in time series. Motivated by empirical observations in neuronal recordings, we aim at investigating peaks of different heights and widths. We use a moving window approach to compare the differences of estimated slope coefficients of local regression models. We combine multiple windows and use the global maximum of all different processes as a test statistic. After rejection, a multiple filter algorithm combines peak positions estimated from multiple windows. Analysing neuronal activity recorded in anaesthetized mice, the procedure could identify significant differences between …

Statistics and Probabilitypeak detection ; multi-scale ; linear regression ; neuronal ensembles ; Brain statesSeries (mathematics)Scale (ratio)business.industry05 social sciencesPattern recognition01 natural sciencesPeak detection010104 statistics & probabilityBrain state0502 economics and businessLinear regressionArtificial intelligence0101 mathematicsStatistics Probability and Uncertaintybusiness050205 econometrics Statistical hypothesis testingMathematics
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Analyse de la distribution spatiale des implantations humaines : apports et limites d’indicateurs multi-échelles et trans-échelles

2020

As human beings, it is easy for us to judge visually whether a distribution is dispersed or concentrated. However, the quantitative formalization of our impressions is problematic. It depends on the scales of the chosen analysis. This dependence of indicators on scales has changed. It is initially considered as a barrier to knowledge, it now reflects the multi-scale organisation of the distributions studied. The central objective of this thesis is to investigate the limits and contribution of multi-scale and trans-scale indicators to the study of the spatial distributions of human settlements.Spatial analysis aims at comparing spatial distributions to a uniform distribution. The way in whic…

Statistique spatialeAnalyse trans-échelleSettlementSpatial statisticsAnalyse fractale[SHS.GEO] Humanities and Social Sciences/GeographyFractal analysisEchelle[SHS.GEO]Humanities and Social Sciences/GeographyMultifractalMultifractaleScalePeuplement
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EV-Scale Sterile Neutrino Search Using Eight Years of Atmospheric Muon Neutrino Data from the IceCube Neutrino Observatory

2020

Physical review letters 125(14), 141801 (1-11) (2020). doi:10.1103/PhysRevLett.125.141801

Sterile neutrinoPhysics::Instrumentation and DetectorsGeneral Physics and Astronomysterile [neutrino]01 natural sciencesCosmologyIceCubeHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Astronomi astrofysik och kosmologiSubatomic PhysicsTOOLAstronomy Astrophysics and Cosmologyatmosphere [muon]Muon neutrinoPhysicsPhysicsoscillation [neutrino]Astrophysics::Instrumentation and Methods for Astrophysicshep-phneutrino: sterilemass difference [neutrino]ddc:muon: atmosphereobservatoryHigh Energy Physics - PhenomenologyPhysique des particules élémentairessignatureParticle physicsdata analysis methodScale (ratio)Astrophysics::High Energy Astrophysical Phenomenaneutrino: mass differenceFOS: Physical sciences530IceCube Neutrino Observatorystatistical analysis0103 physical sciencesOSCILLATIONSddc:530010306 general physicshep-exICEHigh Energy Physics::Phenomenologyneutrino: mixing angleCONVERSIONPhysics and AstronomyCOSMOLOGYHigh Energy Physics::Experimentneutrino: oscillationBAYESIAN-INFERENCEmixing angle [neutrino]experimental results
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