Search results for "Stochastic"

showing 10 items of 1018 documents

MDA: a MATLAB-based program for morphospace-disparity analysis

2003

A MATLAB® program that examines patterns of state-space occupation is described. Four subroutines are available with which to visualize morphospace patterns: (i) in terms of their features such as dispersion, aggregation and location, thereby allowing users to extract complementary quantitative information about how the state-space is structured, and (ii) in terms of changes in those patterns that can be compared with other biotic (e.g., extinction, origination rates) or abiotic (e.g., environmental proxy) information. The program incorporates many of the latest and most widely used statistical parameters for describing multivariate spaces. The parameters are estimated on the basis of boots…

Data processingMultivariate statisticsStochastic modellingComputer scienceSubroutineStatistical parametercomputer.software_genreStochastic simulationStatisticsData miningTime variationsComputers in Earth SciencesMATLABcomputerInformation Systemscomputer.programming_languageComputers & Geosciences
researchProduct

Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications

2019

The scientific community requires long-term data records with well-characterized uncertainty and suitable for modeling terrestrial ecosystems and energy cycles at regional and global scales. This paper presents the methodology currently developed in EUMETSAT within its Satellite Application Facility for Land Surface Analysis (LSA SAF) to generate biophysical variables from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on board MSG 1-4 (Meteosat 8-11) geostationary satellites. Using this methodology, the LSA SAF generates and disseminates at a time a suite of vegetation products, such as the leaf area index (LAI), the fraction of the photosynthetically active radiation absorbed …

Data records010504 meteorology & atmospheric sciencesData productsSciencemeteosat second generation (MSG); biophysical parameters (LAI; FVC; FAPAR); SEVIRI; climate data records (CDR); stochastic spectral mixture model (SSMM); Satellite Application Facility for Land Surface Analysis (LSA SAF)0211 other engineering and technologiesstochastic spectral mixture model (SSMM)02 engineering and technology01 natural sciencesFAPAR)climate data records (CDR)Leaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesQVegetationSEVIRIMixture modelSatellite Application Facility for Land Surface Analysis (LSA SAF)FVCbiophysical parameters (LAIPhotosynthetically active radiationGeostationary orbitGeneral Earth and Planetary SciencesEnvironmental sciencemeteosat second generation (MSG)SatelliteAlgorithmRemote Sensing; Volume 11; Issue 18; Pages: 2103
researchProduct

Comparing binary logistic regression and stochastic gradient boosting techniques in debris-flows susceptibility modelling: application in North-Easte…

2013

Debris-flows susceptibility modellingbinary logistic regressionstochastic gradient boostingSicily
researchProduct

Debt Sustainability and Fiscal Space in a Heterogeneous Monetary Union: Normal Times Vs the Zero Lower Bound

2020

In this paper we study fiscal policy effects and fiscal space for countries in a monetary union with different levels of public debt. We develop a dynamic stochastic general equilibrium (DSGE) model of a two-country monetary union, calibrated to match the characteristics of Spain and Germany, in which debt sustainability is endogenously determined a la Bi (2012) to shape the responses of the risk premium on public debt. Policy shocks change the market’s expectation about future primary surplus, producing a direct effect on the sovereign risk premium and macroeconomic responses of the economy. In normal times the costs of a government spending driven fiscal consolidation in the high-debt cou…

Debtmedia_common.quotation_subjectFiscal spaceRisk premiumZero lower boundMonetary policyEconomicsDynamic stochastic general equilibriumMonetary economicsFiscal sustainabilitymedia_commonFiscal policySSRN Electronic Journal
researchProduct

Multivariate Gaussian criteria in SMAA

2006

Abstract We consider stochastic multicriteria decision-making problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements and the partial or missing preference information can be represented through probability distributions. In many real-life problems the uncertainties of criteria measurements may be dependent. However, it is often difficult to quantify these dependencies. Also, most of the existing methods are unable to handle such dependency information. In this paper, we develop a method for handling dependent uncertainties in stochastic multicriteria group decision-making problems. We measure the criteria, their uncertainties and…

Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic processStochastic modellingContext (language use)Management Science and Operations ResearchIndustrial and Manufacturing Engineeringsymbols.namesakeJoint probability distributionModeling and SimulationStochastic simulationsymbolsProbability distributionGaussian processMathematicsEuropean Journal of Operational Research
researchProduct

Stochastic multicriteria acceptability analysis using the data envelopment model

2006

Abstract Data envelopment analysis (DEA) and stochastic multicriteria acceptability analysis (SMAA-2) are methods for evaluating alternatives based on multiple criteria. While DEA is mainly an ex-post tool used for classifying alternatives into efficient and inefficient ones, SMAA-2 is an ex-ante tool for supporting multiple criteria decision-making. Both methods use a kind of value function where the importance of criteria is modeled using weights. Unlike many other methods, neither DEA nor SMAA-2 requires decision-makers’ weights as input. Instead, these so-called non-parametric methods explore the weight space in order to identify weights favorable for each alternative. This paper introd…

Decision support systemStochastic multicriteria acceptability analysisMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceOperations researchWeight spaceStochastic efficiencyExtension (predicate logic)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringModeling and SimulationBellman equationData envelopment analysisEnvelopmentMathematicsEuropean Journal of Operational Research
researchProduct

Decision support for centralizing cargo at a Moroccan airport hub using stochastic multicriteria acceptability analysis

2010

The geographical location of Morocco places it at the heart of important sea, air, rail and motorway transport routes between four continents. In this study we evaluate different alternatives to centralize multimodal cargo at a Moroccan airport hub. The choice depends on different socio-economical criteria, the geographical location, and the environmental impacts. Some of the criteria can be measured quantitatively, while for others only qualitative assessment is feasible. Furthermore, significant uncertainty is present in both the criteria measurements and the preferences. We aided this decision process using Stochastic Multicriteria Acceptability Analysis (SMAA). SMAA is a method that all…

Decision support systemdecision supportInformation Systems and ManagementGeneral Computer ScienceOperations researchComputer scienceAviationmedia_common.quotation_subjectsStochastic multicriteria acceptability analysisManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringComplete informationair cargo hubPreference (economics)ta218media_commonta212transportationStochastic multicriteria acceptability analysista214business.industryPerfect informationNegotiationModeling and SimulationAirport authoritybusinessEuropean Journal of Operational Research
researchProduct

GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences

2018

The LIGO Scientific and Virgo Collaborations have announced the first detection of gravitational waves from the coalescence of two neutron stars. The merger rate of binary neutron stars estimated from this event suggests that distant, unresolvable binary neutron stars create a significant astrophysical stochastic gravitational-wave background. The binary neutron star background will add to the background from binary black holes, increasing the amplitude of the total astrophysical background relative to previous expectations. In the Advanced LIGO-Virgo frequency band most sensitive to stochastic backgrounds (near 25 Hz), we predict a total astrophysical background with amplitude $\Omega_{\rm…

Design sensitivityneutron star: binarygravitational radiation: stochasticAstronomyX-ray binaryGeneral Physics and AstronomyAstrophysicsAstrophysics01 natural sciencesGeneral Relativity and Quantum CosmologylocalizationGravitational wave backgroundGravitational Waves Neutron Stars Stochastic Background Virgo LIGOblack holeLIGOstochastic modelQCQBPhysicsGAMMA-RAY BURSTSSignal to noise ratioStochastic systemsBlack holesGravitational effectsarticleAstrophysics::Instrumentation and Methods for AstrophysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSING[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Gravitational wave sources Experimental studies of gravity Gravitational WavesGravitationBinary neutron starsX-ray bursterBinsAstrophysics::High Energy Astrophysical PhenomenaMERGERSFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsGravity wavesgravitational radiation: direct detectionBinary pulsarNeutron starsSTAR-FORMATIONPhysics and Astronomy (all)General Relativity and Quantum CosmologyBinary black holebinary: coalescence0103 physical sciencesFrequency bandsddc:530RATESINTERFEROMETERS010306 general physicsAstrophysics::Galaxy AstrophysicsNeutronsGravitational Waves010308 nuclear & particles physicsGravitational waveVirgogravitational radiation: backgroundgravitational radiationAstronomyNeutron Stars530 Physikbinary: compactsensitivityStarsLIGObackground: stochasticEVOLUTIONsignal noise ratioVIRGOPhysics and Astronomyblack hole: binarygravitational radiation: emissionStellar black holeStochastic BackgroundDewey Decimal Classification::500 | Naturwissenschaften::530 | PhysikHIGH-REDSHIFTneutron star: coalescencePhysical Review Letters
researchProduct

Stochastic dynamics of nonlinear systems with a fractional power-law nonlinear term: The fractional calculus approach

2011

Fractional power-law nonlinear drift arises in many applications of engineering interest, as in structures with nonlinear fluid viscous–elastic dampers. The probabilistic characterization of such structures under external Gaussian white noise excitation is still an open problem. This paper addresses the solution of such a nonlinear system providing the equation governing the evolution of the characteristic function, which involves the Riesz fractional operator. An efficient numerical procedure to handle the problem is also proposed.

Differential equationOpen problemAerospace EngineeringOcean EngineeringFractional calculuStochastic differential equationsymbols.namesakeFractional programmingNonlinear viscous–elastic damperCivil and Structural EngineeringMathematicsStochastic differential equationMechanical EngineeringCharacteristic functionMathematical analysisPower-law driftStatistical and Nonlinear PhysicsWhite noiseCondensed Matter PhysicsFractional differential equationFractional calculusNonlinear systemNuclear Energy and EngineeringGaussian noisesymbolsSettore ICAR/08 - Scienza Delle CostruzioniProbabilistic Engineering Mechanics
researchProduct

Gaussian and non-Gaussian stochastic sensitivity analysis of discrete structural systems

2000

Abstract The derivatives of the response of a structural system with respect to the system parameters are termed sensitivities. They play an important role in assessing the effect of uncertainties in the mathematical model of the system and in predicting changes of the response due to changes of the design parameters. In this paper, a time domain approach for evaluating the sensitivity of discrete structural systems to deterministic, as well as to Gaussian or non-Gaussian stochastic input is presented. In particular, in the latter case, the stochastic input has been assumed to be a delta-correlated process and, by using Kronecker algebra extensively, cumulant sensitivities of order higher t…

Differential equationStochastic processGaussianMechanical EngineeringStructural systemstochastic analysisComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science Applicationssymbols.namesakeControl theoryKronecker deltaModeling and SimulationsymbolsApplied mathematicsGeneral Materials ScienceSensitivity (control systems)Time domainMaterials Science (all)Sensitivity analysis; stochastic analysis; Non-Gaussian stochastic analysisSensitivity analysisGaussian processNon-Gaussian stochastic analysisMathematicsCivil and Structural Engineering
researchProduct