Search results for " Carl"

showing 10 items of 1737 documents

On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic

2015

We develop a practical approach to establish the stability, that is, the recurrence in a given set, of a large class of controlled Markov chains. These processes arise in various areas of applied science and encompass important numerical methods. We show in particular how individual Lyapunov functions and associated drift conditions for the parametrized family of Markov transition probabilities and the parameter update can be combined to form Lyapunov functions for the joint process, leading to the proof of the desired stability property. Of particular interest is the fact that the approach applies even in situations where the two components of the process present a time-scale separation, w…

65C05FOS: Computer and information sciencesStatistics and ProbabilityLyapunov functionStability (learning theory)Markov processContext (language use)Mathematics - Statistics Theorycontrolled Markov chainsStatistics Theory (math.ST)Stochastic approximation01 natural sciencesMethodology (stat.ME)010104 statistics & probabilitysymbols.namesake60J05stochastic approximationFOS: MathematicsComputational statisticsApplied mathematics60J220101 mathematicsStatistics - MethodologyMathematicsSequenceMarkov chain010102 general mathematicsStability Markov chainssymbolsStatistics Probability and Uncertaintyadaptive Markov chain Monte Carlo
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Coupled conditional backward sampling particle filter

2020

The conditional particle filter (CPF) is a promising algorithm for general hidden Markov model smoothing. Empirical evidence suggests that the variant of CPF with backward sampling (CBPF) performs well even with long time series. Previous theoretical results have not been able to demonstrate the improvement brought by backward sampling, whereas we provide rates showing that CBPF can remain effective with a fixed number of particles independent of the time horizon. Our result is based on analysis of a new coupling of two CBPFs, the coupled conditional backward sampling particle filter (CCBPF). We show that CCBPF has good stability properties in the sense that with fixed number of particles, …

65C05FOS: Computer and information sciencesStatistics and ProbabilityunbiasedMarkovin ketjutTime horizonStatistics - Computation01 natural sciencesStability (probability)backward sampling65C05 (Primary) 60J05 65C35 65C40 (secondary)010104 statistics & probabilityconvergence rateFOS: MathematicsApplied mathematics0101 mathematicscouplingHidden Markov model65C35Computation (stat.CO)Mathematicsstokastiset prosessitBackward samplingSeries (mathematics)Probability (math.PR)Sampling (statistics)conditional particle filterMonte Carlo -menetelmätRate of convergence65C6065C40numeerinen analyysiStatistics Probability and UncertaintyParticle filterMathematics - ProbabilitySmoothing
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Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer

2019

AbstractA spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal points, that can be in a binary state: either in ‘cancer state’ or in ‘non-cancer state’. The model assigns probabilities for the non-reversible transition from ‘non-cancer’ state to the ‘cancer state’ that depend on the states of the neighbouring nodes. The likelihood of transition further depends on the life burden intensity of the UV-rays that the skin is exposed to. The probabilistic nature of the process and the uncertainty in the input data is assessed by the use of Monte Carlo simulations. A good fit between experiments on mi…

65C05Skin NeoplasmsComputer scienceQuantitative Biology::Tissues and OrgansMarkovin ketjut0206 medical engineeringMonte Carlo methodPhysics::Medical PhysicsBinary number02 engineering and technologyArticleihosyöpä03 medical and health sciencesMicemedicineAnimalsHumansComputer SimulationStatistical physicsUncertainty quantification60J20stokastiset prosessit030304 developmental biologyProbability0303 health sciencesMarkov chainApplied MathematicsProbabilistic logicUncertaintyState (functional analysis)medicine.disease020601 biomedical engineeringAgricultural and Biological Sciences (miscellaneous)Markov ChainsCardinal pointModeling and Simulation65C40Disease Progressionmatemaattiset mallitSkin cancerMonte Carlo MethodJournal of Mathematical Biology
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Caciquismo en La Mancha : los Ochando en el partido judicial de Casas Ibáñez

1980

Caciquismo en La Mancha: los Ochando en el partido judicial de Casas Ibáñez recoge el funcionamiento del sistema caciquil que caracterizó a la España de la Restauración Borbónica del siglo XIX. El partido judicial de Casas Ibáñez estuvo controlado por la familia Ochando y Chumillas de 1875 hasta la dictadura de Primo de Rivera.

:CIENCIA POLÍTICA [UNESCO]UNESCO::HISTORIArestauración borbónicaUNESCO::CIENCIA POLÍTICACastilla La ManchacaciquismoUNESCO::SOCIOLOGÍAguerras carlistasvía férrea Baeza-Utiel:SOCIOLOGÍA [UNESCO]:HISTORIA [UNESCO]
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Distributed channel prediction for multi-agent systems

2017

Los sistemas multiagente (MAS) se comunican a través de una red inalámbrica para coordinar sus acciones e informar sobre el estado de su misión. La conectividad y el rendimiento del sistema pueden mejorarse mediante la predicción de la ganancia del canal. Presentamos un esquema basado en regresión de procesos gaussianos (GPR) distribuidos para predecir el canal inalámbrico en términos de la potencia recibida en el MAS. El esquema combina una máquina de comité bayesiano con un esquema de consenso medio, distribuyendo así no sólo la memoria sino también la carga computacional y de comunicación. A través de simulaciones de Monte Carlo, demostramos el rendimiento del GPR propuesto. RACHEL TEC20…

:CIENCIAS TECNOLÓGICAS [UNESCO]Wireless networkComputer sciencebusiness.industryDistributed computingMulti-agent systemMonte Carlo method020206 networking & telecommunicationsBayesian committee machine02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASKriging0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingmulti-agent systemsbusinessgaussian process regressionSimulationCommunication channelaverage consensus scheme
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Search for a Dark Leptophilic Scalar in e(+) e(-) Collisions

2020

Many scenarios of physics beyond the standard model predict the existence of new gauge singlets, which might be substantially lighter than the weak scale. The experimental constraints on additional scalars with masses in the MeV to GeV range could be significantly weakened if they interact predominantly with leptons rather than quarks. At an e+e- collider, such a leptophilic scalar (φL) would be produced predominantly through radiation from a τ lepton. We report herein a search for e+e-→τ+τ-φL, φL→ℓ+ℓ- (ℓ=e, μ) using data collected by the BABAR experiment at SLAC. No significant signal is observed, and we set limits on the φL coupling to leptons in the range 0.04<mφL<7.0 GeV. These bounds s…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Electron–positron annihilationPhysics beyond the Standard ModelGeneral Physics and Astronomy01 natural sciencesElementary particlecurrent: constraintE+e- collider[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HEP BaBarMathematical physicsPhysicstau: pair productionnew physics: search forSettore FIS/01 - Fisica Sperimentalescale: electroweak interactionelectron positron: colliding beamsModel estàndard (Física nuclear)Standard model (Nuclear physics)Monte Carlo method:Nuclear and elementary particle physics: 431 [VDP]The standard modelConfidence levelPEP-IIAnomalous magnetic momentleptonic decayScalar (mathematics)lepton: couplinganomalycoupling constant: upper limitelectron positron: annihilationNOMagnetic momentBABAR experimentlepton: coupling: high0103 physical sciencesParameter spaceBaBar; PEP-II; Rare decays;singlet: gauge010306 general physicsMètode de Montecarlomuon: magnetic momentHigh Energy Physics::PhenomenologyRare decaysSLAC PEP StorRare decay[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]BaBarElementary Particles and FieldsHigh Energy Physics::ExperimentLeptonexperimental results
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Particle identification in ALICE: a Bayesian approach

2016

We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss ($\mathrm{d}E/\mathrm{d}x$) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels ${\rm K}^0_S \righta…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Monte Carlo methodGeneral Physics and AstronomyPID controllerPP01 natural sciencesParticle identificationHigh Energy Physics - ExperimentParticle identificationHigh Energy Physics - Experiment (hep-ex)ALICEHadron-Hadron scattering (experiments)Heavy-ion collisionNuclear and High Energy Physics Hadron-Hadron scattering (experiments) Heavy Ion Experiments Heavy-ion collision Quark gluon plasma Particle identification Bayesianscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Detectors and Experimental TechniquesNuclear ExperimentNuclear ExperimentPhysicsefficiency [particle identification]PB COLLISIONSVDP::Kjerne- og elementærpartikkelfysikk: 431Monte Carlo [numerical calculations]PB COLLISIONS PP PERFORMANCE.:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.Time of flight:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431performancemomentum spectrum [charged particle]Nuclear and High Energy PhysicsParticle physicsMesoneducationBayesian probabilityFOS: Physical sciencesQuark gluon plasma[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBayesianNuclear physicsPhysics and Astronomy (all)PionHeavy Ion Experiments0103 physical sciencesddc:530010306 general physics010308 nuclear & particles physicsBayesian approach:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentPERFORMANCEparticle identification ; Bayesian approachNATURAL SCIENCES. Physics.PB COLLISIONS; TEV; PP; PERFORMANCEPhysics - Data Analysis Statistics and ProbabilityQuark–gluon plasmaBayesian [statistics]TEVHigh Energy Physics::Experimentparticle identificationData Analysis Statistics and Probability (physics.data-an)
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Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector

2020

The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139  fb−1 of √s=13  TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675 GeV. The measurement uses charged particles to ac…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Protonshowers [parton]13000 GeV-cmsPhysics::Instrumentation and DetectorsHadronGeneral Physics and Astronomyjet: transverse momentumPhysical Effects01 natural sciencestransverse momentum [jet]High Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)Charged ParticlesSubatomic PhysicsComputingMilieux_COMPUTERSANDEDUCATIONscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Parton showerNuclear ExperimentGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)PhysicsSettore FIS/01Jet (fluid)Large Hadron ColliderDouble Differential Cross SectionsDetectorhadronic [jet]Monte Carlo [numerical calculations]ATLASTransverse Momentacharged particleCharged particlemedicine.anatomical_structureCERN LHC Coll:Nuclear and elementary particle physics: 431 [VDP]colliding beams [p p]numerical calculations: Monte CarloParticle Physics - Experimentp p: scatteringCiências Naturais::Ciências Físicas530 Physicsformation [jet]Astrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesMeasurements ofLHC ATLAS High Energy Physicsjet: formation530GeneralLiterature_MISCELLANEOUSMonte Carlo Modelparton: showersNuclear physicsdifferential cross section: measuredAtlas (anatomy)Fragmentationmeasured [differential cross section]0103 physical sciencesmedicineddc:530High Energy Physicsstructure010306 general physicsATLAS CollaborationScience & Technology010308 nuclear & particles physicsComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSFísicajet: hadronic530 Physikangular resolutionProton Proton CollisionsElementary Particles and FieldsHigh Energy Physics::ExperimentDetector EffectsHadron-hadron collisionsp p: colliding beamsMathematicsofComputing_DISCRETEMATHEMATICSacceptanceexperimental results
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Measurements of underlying-event properties using neutral and charged particles in pp collisions at root s=900 GeV and root s=7 TeV with the ATLAS de…

2011

We present first measurements of charged and neutral particle-flow correlations in pp collisions using the ATLAS calorimeters. Data were collected in 2009 and 2010 at centre-of-mass energies of 900 GeV and 7 TeV. Events were selected using a minimum-bias trigger which required a charged particle in scintillation counters on either side of the interaction point. Particle flows, sensitive to the underlying event, are measured using clusters of energy in the ATLAS calorimeters, taking advantage of their fine granularity. No Monte Carlo generator used in this analysis can accurately describe the measurements. The results are independent of those based on charged particles measured by the ATLAS …

:Mathematics and natural science: 400::Physics: 430 [VDP]Physics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsMonte Carlo method:Mathematics and natural science: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]7. Clean energy01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)JetsNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]QCATLAS detector; LHCPhysicsLarge Hadron ColliderSettore FIS/01 - Fisica SperimentaleATLASCharged particleCalorimetermedicine.anatomical_structureScintillation counterComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDistributionsFísica nuclearLHCNatural Sciencespp collisionsParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicsAtlas (anatomy)0103 physical sciencesmedicineddc:530High Energy Physics010306 general physicsEngineering (miscellaneous)Ciencias ExactasCalorimeterHeraScience & Technologyneutral particle-flow correlationsInteraction point010308 nuclear & particles physicsFísicaQC0793Experimental High Energy PhysicsParticle
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Luminosity determination in pp collisions at s=7 TeV using the ATLAS detector at the LHC

2011

Measurements of luminosity obtained using the ATLAS detector during early running of the Large Hadron Collider (LHC) at s√=7 TeV are presented. The luminosity is independently determined using several detectors and multiple algorithms, each having different acceptances, systematic uncertainties and sensitivity to background. The ratios of the luminosities obtained from these methods are monitored as a function of time and of μ, the average number of inelastic interactions per bunch crossing. Residual time- and μ-dependence between the methods is less than 2% for 0<μ<2.5. Absolute luminosity calibrations, performed using beam separation scans, have a common systematic uncertainty of ±11%, do…

:Mathematics and natural science: 400::Physics: 430 [VDP]Physics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsMonte Carlo method:Mathematics and natural science: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]Luminosity Determination01 natural sciencesLuminiscenciaHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)proton-proton collisionNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PhysicsLarge Hadron ColliderLuminosity (scattering theory)DetectorSettore FIS/01 - Fisica SperimentaleATLAS detector; LHC; pp collisionsATLASmedicine.anatomical_structureComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearLHCNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências FísicasAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicsAtlas (anatomy)0103 physical sciencesmedicineCalibrationddc:530High Energy Physics010306 general physicsEngineering (miscellaneous)Ciencias ExactasScience & TechnologyATLAS detector010308 nuclear & particles physicsATLAS DetectorFísicaHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentEvent (particle physics)Beam (structure)
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