Search results for "MOMENTS"

showing 10 items of 151 documents

GW170817: Measurements of Neutron Star Radii and Equation of State

2018

On 17 August 2017, the LIGO and Virgo observatories made the first direct detection of gravitational waves from the coalescence of a neutron star binary system. The detection of this gravitational-wave signal, GW170817, offers a novel opportunity to directly probe the properties of matter at the extreme conditions found in the interior of these stars. The initial, minimal-assumption analysis of the LIGO and Virgo data placed constraints on the tidal effects of the coalescing bodies, which were then translated to constraints on neutron star radii. Here, we expand upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation…

Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaftenneutron star: binaryAstronomyGeneral Physics and AstronomyAstrophysics01 natural sciencesGeneral Relativity and Quantum CosmologyGRAVITATIONAL-WAVESGW170817BINARIESddc:550DENSELIGODENSE MATTEREquation of State010303 astronomy & astrophysicsQCQBHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicsNeutron Star RadiusPhysicsGravitational effectsEquations of stateParametrizationsElectromagnetic observationsGravitational-wave signals3. Good healthQUADRUPOLE-MOMENTSMacroscopic propertiesPhysical Sciences[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Gravitational wave sourceAstrophysics::Earth and Planetary AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaEquations of state of nuclear matterGravitational wavesaturation: densityBinary neutron starsNUCLEON MATTEREquations of state of nuclear matter; Gravitational wave sources; Gravitational waves; Nuclear matter in neutron starsGeneral relativitygr-qcAstrophysics::High Energy Astrophysical PhenomenaGW170817 Neutron Star Radius Equation of StatePhysics Multidisciplinaryneutron star: spinFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsGravity wavesgravitational radiation: direct detectionGravitation and AstrophysicsNuclear matter in neutron starsGravitational waveselectromagnetic field: productionPhysics and Astronomy (all)Pulsargalaxy: binary0103 physical sciencesddc:530NeutronMASSESSTFCequation of state: parametrizationAstrophysics::Galaxy AstrophysicsNeutronsExtreme conditionsGravitational wave sourcesEquation of stateScience & TechnologyNeutron Star Interior Composition Explorer010308 nuclear & particles physicsGravitational wavegravitational radiationRCUKFlocculationSaturation densityUNIVERSAL RELATIONSStarsLIGOgravitational radiation detectorNeutron starStarsVIRGOPhysics and Astronomygravitational radiation: emissionneutron star: binary: coalescenceDewey Decimal Classification::500 | Naturwissenschaften::530 | Physik[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]MATTER
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Sparse Image Representation by Directionlets

2010

Despite the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency and sparsity of its representation are limited by the spatial symmetry and separability of its basis functions built in the horizontal and vertical directions. One-dimensional discontinuities in images (edges or contours), which are important elements in visual perception, intersect too many wavelet basis functions and lead to a non-sparse representation. To capture efficiently these elongated structures characterized by geometrical regularity along different directions (not only the horizontal and vertical), a more complex multidirectional (M-DIR) and asymmetric transform is requi…

Directional transformsbusiness.industryMultiresolution analysisWavelet transformImage codingImage processingDirectional vanishing momentsContourletImage orientation analysisWavelet transformsWaveletCurveletImage scalingImage interpolationComputer visionSeparable transformsArtificial intelligencebusinessAlgorithmMultiresolution analysisSparse representationMathematicsImage compression
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Laser-assisted nuclear decay spectroscopy of Au-176,Au-177,Au-179

2021

ispartof: PHYSICAL REVIEW C vol:104 issue:2 status: published

ENERGYScience & TechnologyPhysics NuclearLIGHTSTATESSHAPE COEXISTENCEMOMENTSPhysicsPhysical SciencesISOTOPESGOLDDATA SHEETS
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Complementarities in innovation strategy: do intangibles play a role in enhancing firm performance?

2017

This article assesses the role of investments in intangible capital and their potential complementarities as a way to improve firm productivity. We focus on the three intangible resources that, according to the literature, have the greatest strategic importance: research and development (R & D), advertising, and human capital. To test our hypotheses, we use a large sample of Spanish manufacturing firms and consider estimates of total factor productivity through a generalized method of moments approach. Our results show evidence of complementarities between R & D and advertising investments and between advertising and human capital. However, they are not conclusive in the case of R & D and h…

Economics and Econometrics05 social sciencesHuman capitalLarge sampleCapital (economics)0502 economics and businessEconomicsManufacturing firms050207 economicsProductivityTotal factor productivity050203 business & managementIndustrial organizationGeneralized method of momentsIndustrial and Corporate Change
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Sampling properties of the Bayesian posterior mean with an application to WALS estimation

2022

Many statistical and econometric learning methods rely on Bayesian ideas, often applied or reinterpreted in a frequentist setting. Two leading examples are shrinkage estimators and model averaging estimators, such as weighted-average least squares (WALS). In many instances, the accuracy of these learning methods in repeated samples is assessed using the variance of the posterior distribution of the parameters of interest given the data. This may be permissible when the sample size is large because, under the conditions of the Bernstein--von Mises theorem, the posterior variance agrees asymptotically with the frequentist variance. In finite samples, however, things are less clear. In this pa…

Economics and EconometricsWALS.SDG 16 - PeaceSettore SECS-P/05Monte Carlo methodBayesian probabilityPosterior probabilitySettore SECS-P/05 - EconometriaDouble-shrinkage estimators01 natural sciencesLeast squares010104 statistics & probabilityFrequentist inference0502 economics and businessStatisticsPosterior moments and cumulantsStatistics::Methodology0101 mathematicsdouble-shrinkage estimator050205 econometrics MathematicsWALSLocation modelApplied Mathematics05 social sciencesSDG 16 - Peace Justice and Strong InstitutionsUnivariateSampling (statistics)EstimatorVariance (accounting)/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsJustice and Strong InstitutionsSample size determinationposterior moments and cumulantNormal location modelJournal of Econometrics
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Automatic optimization of multichip RFID tags

2012

The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.

Electromagnetic fieldRFIDmethod of momentsComputer scienceGenetic Algorithmsmultichip tagtag antennaRFID multi-port antennaRFID; multichip tag; Genetic AlgorithmsmultichipGenetic algorithmElectronic engineeringgenetic algorithmoptimization
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Testing the Role of Comparative Advantage and Learning in Wage and Promotion Dynamics

2012

PurposeThe purpose of this paper is to investigate empirically whether job assignment, based on comparative advantage and learning about workers’ abilities, can explain wage and promotion dynamics within firms.Design/methodology/approachThe Gibbons and Waldman model is estimated in a generalized method of moments (GMM) framework using a unique data set on white‐collar workers in Norway, for the years 1987‐1997. The estimation is carried out on two occupational groups: technical and administrative white‐collar workers.FindingsThe placing of workers in a given position within a firm's hierarchy is based on comparative advantage. Both measurable and unmeasurable skills are important. This hold…

EstimationOrganizational Behavior and Human Resource ManagementLabour economicsHierarchyStrategy and Managementmedia_common.quotation_subjectWageCollarPromotion (rank)Management of Technology and InnovationEconomicsPosition (finance)Organizational structureDemographic economicsComparative advantageGeneralized method of momentsmedia_commonSSRN Electronic Journal
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Production Function Estimation in Stata Using the Ackerberg–Caves–Frazer Method

2016

We present a new e-class command, acfest, that implements the method of Ackerberg, Caves, and Frazer (2015, Econometrica 83: 2411–2451) to estimate production functions. This method deals with the functional dependence problems that may arise in the methods proposed by Olley and Pakes (1996, Econometrica 64: 1263–1297) and, particularly, Levinsohn and Petrin (2003, Review of Economic Studies 70: 317–341) (implemented in Stata by Yasar, Raciborski, and Poi [2008, Stata Journal 8: 221–231] and Petrin, Poi, and Levinsohn [2004, Stata Journal 4: 113–123], respectively). In particular, the acfest command yields (nonlinear, robust) generalized method of moments estimates using a Mata function an…

Estimationgeographygeography.geographical_feature_category05 social sciencesFunction (mathematics)Mathematics (miscellaneous)Cave0502 economics and businessEconometricsProduction (economics)Endogeneity050207 economicsMathematical economics050205 econometrics Generalized method of momentsMathematicsThe Stata Journal: Promoting communications on statistics and Stata
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A novel exact representation of stationary colored Gaussian processes (fractional differential approach)

2010

A novel representation of functions, called generalized Taylor form, is applied to the filtering of white noise processes. It is shown that every Gaussian colored noise can be expressed as the output of a set of linear fractional stochastic differential equations whose solution is a weighted sum of fractional Brownian motions. The exact form of the weighting coefficients is given and it is shown that it is related to the fractional moments of the target spectral density of the colored noise.

FOS: Computer and information sciencesStatistics and ProbabilityDifferential equationFOS: Physical sciencesGeneral Physics and AstronomyStatistics - ComputationStochastic differential equationsymbols.namesakeSpectral MomentsApplied mathematicsStationary processeGaussian processCondensed Matter - Statistical MechanicsComputation (stat.CO)Mathematical PhysicsMathematicsGeneralized functionStatistical Mechanics (cond-mat.stat-mech)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)White noiseClosed and exact differential formsColors of noiseGaussian noiseFractional CalculuModeling and SimulationsymbolsSettore ICAR/08 - Scienza Delle Costruzioni
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CROSS-POWER SPECTRAL DENSITY AND CROSS-CORRELATION REPRESENTATION BY USING FRACTIONAL SPECTRAL MOMENTS

2012

Fractional calculus Mellin transform Complex order moments Fractional moments Fractional spectral moments Cross-correlation function Cross-power spectral density function
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