Search results for "Control systems"

showing 10 items of 590 documents

The Stability Theory of Knowledge and Belief Revision: Comments on Rott

2005

In this commentary on Rott’s paper “Stability, Strength and Sensitivity: Converting Belief into Knowledge”, I discuss two problems of the stability theory of knowledge which are pointed out by Rott. I conclude that these problems offer no reason for rejecting the stability theory, but might be grounds for deviating from the standard AGM account of belief revision which Rott presupposes.

Stability theoryOntologyStability (learning theory)Sensitivity (control systems)Belief revisionEpistemologyMathematics
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Measurement of the single-top-quark production cross section at CDF.

2008

We report a measurement of the single top quark production cross section in 2.2 ~fb-1 of p-pbar collision data collected by the Collider Detector at Fermilab at sqrt{s}=1.96 TeV. Candidate events are classified as signal-like by three parallel analyses which use likelihood, matrix element, and neural network discriminants. These results are combined in order to improve the sensitivity. We observe a signal consistent with the standard model prediction, but inconsistent with the background-only model by 3.7 standard deviations with a median expected sensitivity of 4.9 standard deviations. We measure a cross section of 2.2 +0.7 -0.6(stat+sys) pb, extract the CKM matrix element value |V_{tb}|=0…

StandardsTop quarkParticle physicsFOS: Physical sciencesGeneral Physics and Astronomyddc:500.2Astrophysics::Cosmology and Extragalactic Astrophysics114 Physical sciences01 natural sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Tellurium compoundsMatrix elementsCross section (physics)Colliding beam acceleratorsStandard deviations0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Sensitivity (control systems)010306 general physicsStandard models14.65.Ha 13.85Qk 12.15Hh 12.15.JiPhysicshep-ex010308 nuclear & particles physicsCabibbo–Kobayashi–Maskawa matrixPhysicsStatisticsHigh Energy Physics::PhenomenologyOrder (ring theory)Collider Detector at FermilabCross sections_Parallel analysisProduction (computer science)High Energy Physics::ExperimentCollider Detector at FermilabNeural networksQuark productions
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Detection of spatial disease clusters with LISA functions.

2011

Detection of disease clusters is an important tool in epidemiology that can help to identify risk factors associated with the disease and in understanding its etiology. In this article we propose a method for the detection of spatial clusters where the locations of a set of cases and a set of controls are available. The method is based on local indicators of spatial association functions (LISA functions), particularly on the development of a local version of the product density, which is a second-order characteristic of spatial point processes. The behavior of the method is evaluated and compared with Kulldorff's spatial scan statistic by means of a simulation study. It is shown that the LI…

Statistics and ProbabilityAdultMaleDisease clustersEpidemiologyScan statisticIrregular shapePoint processDisease OutbreaksSet (abstract data type)StatisticsCluster AnalysisHumansComputer SimulationSensitivity (control systems)MathematicsAgedAged 80 and overbusiness.industryPattern recognitionMiddle AgedSpainData Interpretation StatisticalSpatial clusteringFemaleKidney DiseasesArtificial intelligencebusinessEpidemiologic MethodsType I and type II errorsStatistics in medicine
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An overview of robust Bayesian analysis

1994

Robust Bayesian analysis is the study of the sensitivity of Bayesian answers to uncertain inputs. This paper seeks to provide an overview of the subject, one that is accessible to statisticians outside the field. Recent developments in the area are also reviewed, though with very uneven emphasis. © 1994 SEIO.

Statistics and ProbabilityComputer scienceBayesian probabilitycomputer.software_genreData scienceField (computer science)Bayesian robustnessN/ARobust Bayesian analysisPrior probabilityData miningSensitivity (control systems)Statistics Probability and Uncertaintycomputer
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Microstructural sensitivity of local porosity distributions

1992

The recently introduced concept of local porosity distributions for the geometric characterization of arbitrary porous media is scrutinized using computer generated pore space images. The paper presents the first direct determination of local porosity distributions from digital images. Pore space images with identical two point correlation functions are employed to analyse the geometrical sensitivity of the local porosity concept. The main finding is that local distributions can be used to discriminate between images which are indistinguishable using standard correlation functions. We also discuss the question of length scales associated with the local porosity concept.

Statistics and ProbabilityDigital imageGeometryCharacterisation of pore space in soilSensitivity (control systems)Condensed Matter PhysicsPorosityPorous mediumPhysics::GeophysicsCharacterization (materials science)MathematicsPoint correlationPhysica A: Statistical Mechanics and its Applications
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Windowed Etas Models With Application To The Chilean Seismic Catalogs

2015

Abstract The seismicity in Chile is estimated using an ETAS (Epidemic Type Aftershock sequences) space–time point process through a semi-parametric technique to account for the estimation of parametric and nonparametric components simultaneously. The two components account for triggered and background seismicity respectively, and are estimated by alternating a ML estimation for the parametric part and a forward predictive likelihood technique for the nonparametric one. Given the geographic and seismological characteristics of Chile, the sensitivity of the technique with respect to different geographical areas is examined in overlapping successive windows with varying latitude. A different b…

Statistics and ProbabilityNonparametric statisticsManagement Monitoring Policy and LawInduced seismicityGeodesyPoint processPhysics::GeophysicsLatitudeSpace-time point processes ETAS model etasFLP R packagePredictive likelihoodStatisticsSensitivity (control systems)Computers in Earth SciencesAftershockGeologyParametric statistics
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On implementation of the Gibbs sampler for estimating the accuracy of multiple diagnostic tests

2010

Implementation of the Gibbs sampler for estimating the accuracy of multiple binary diagnostic tests in one population has been investigated. This method, proposed by Joseph, Gyorkos and Coupal, makes use of a Bayesian approach and is used in the absence of a gold standard to estimate the prevalence, the sensitivity and specificity of medical diagnostic tests. The expressions that allow this method to be implemented for an arbitrary number of tests are given. By using the convergence diagnostics procedure of Raftery and Lewis, the relation between the number of iterations of Gibbs sampling and the precision of the estimated quantiles of the posterior distributions is derived. An example conc…

Statistics and Probabilityeducation.field_of_studygastroesophageal reflux diseaseBayesian probabilityPopulationGold standard (test)Settore FIS/03 - Fisica Della MateriaGibbs sampler; Bayesian analysis; convergence diagnostics; diagnostic tests; gastroesophageal reflux diseaseSettore MED/01 - Statistica MedicaData setsymbols.namesakediagnostic testGibbs samplerConvergence (routing)Statisticsconvergence diagnosticsymbolsSensitivity (control systems)Statistics Probability and UncertaintyeducationAlgorithmBayesian analysiQuantileMathematicsGibbs samplingJournal of Applied Statistics
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Solving fully randomized first-order linear control systems: Application to study the dynamics of a damped oscillator with parametric noise under sto…

2022

[EN] This paper is devoted to study random linear control systems where the initial condition, the final target, and the elements of matrices defining the coefficients are random variables, while the control is a stochastic process. The so-called Random Variable Transformation technique is adapted to obtain closed-form expressions of the probability density functions of the solution and of the control. The theoretical findings are applied to study the dynamics of a damped oscillator subject to parametric noise.

Stochastic controlStochastic processApplied MathematicsRandom damped linear oscillatorsProbability density functionNoise (electronics)Computational MathematicsTransformation (function)Random control systemsInitial value problemApplied mathematicsFirst probability density functionMATEMATICA APLICADARandom variableRandom Variable Transformation techniqueMathematicsParametric statistics
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Recent advances in local probe techniques in corrosion research – Analysis of the role of stress on pitting sensitivity

2007

Local probe techniques have been largely applied to predict the spatial distribution of the electrochemical reactions and to quantify the corrosion rate. These local probe techniques are now being developed to capture the temporal information, in-situ and in real-time. Nevertheless only few works have been devoted to investigate with these local probes the role of stress on pitting sensitivity on passive materials. In this paper, a part of the most recent studies based on combination of local electrochemical measurements with finite element mapping of surface stress gradients are reported illustrating the role of inclusions under straining and the mechanical effect of surface preparation on…

Stress (mechanics)Materials scienceSurface preparationGeneral Chemical EngineeringSurface stressMetallurgyPitting corrosionGeneral Materials ScienceGeneral ChemistrySensitivity (control systems)Temporal informationFinite element methodCorrosionCorrosion Science
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Length-scale-dependent vortex-antivortex unbinding in epitaxialBi2Sr2CaCu2O8+δfilms

1998

The supercurrent transport properties of epitaxial ${\mathrm{Bi}}_{2}{\mathrm{Sr}}_{2}{\mathrm{CaCu}}_{2}{\mathrm{O}}_{8+\mathrm{\ensuremath{\delta}}}$ films in zero applied magnetic field were investigated in a temperature interval of \ensuremath{\approx}20 K below the mean-field critical temperature ${T}_{c0}.$ The modification of the shape of the $I\ensuremath{-}V$ curves observed by varying the temperature was explained in terms of vortex-fluctuation-induced layer decoupling and vortex-antivortex unbinding, revealing a strong probing-length dependence. The change of the effective dimensionality of thermally excited vortices involved in the dissipation process leads to the appearance of …

SuperconductivityPhysicsLength scaleCondensed matter physicsElectrical resistivity and conductivityCondensed Matter::SuperconductivityExcited stateSupercurrentCoulombSensitivity (control systems)Critical exponentPhysical Review B
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