Search results for "Statistical"

showing 10 items of 4960 documents

Localization in a QFT Model

2006

Localization properties of a QFT model, consisting of a quantum scalar field interacting linearly with a classical localized source, are investigated using various approaches present in the literature. We evaluate, to any order of the field–matter coupling constant, the time evolution of average values of one-point localization observables and scalar product between the quantum field state of the evolving system and localized states. We show that the appearance of nonlocality can be connected to nonlocal properties of localized states used or to the fact that localization operators do not satisfy the microcausality principle and therefore does not imply the violation of causality.

Statistics and ProbabilityCoupling constantPhysicsScalar (mathematics)Time evolutionoperatorsStatistical and Nonlinear PhysicsObservableQuantum nonlocalityTheoretical physicsClassical mechanicsquantum electrodynamicsphotonsQuantum field theoryScalar fieldQuantumMathematical PhysicsOpen Systems & Information Dynamics
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Step-by-Step Control of the Dynamics of a Superconducting QED-like System

2007

We discuss the modus operandi of a theoretical scalable coupling scheme to control step by step the time evolution of a pair of flux qubits embedded in a lossy resonant cavity. The sequential interaction of each qubit with the quantized cavity mode is controlled by externally applied magnetic fluxes. Our analysis indicates that indirect qubit-qubit interactions, with the electromagnetic mode acting as a data bus, can be selectively performed and exploited both for the implementation of entangling gates and for the generation of states with a priori known characteristics.

Statistics and ProbabilityCouplingPhysicsSuperconductivityFlux qubitComplex systemTime evolutionStatistical and Nonlinear PhysicsData_CODINGANDINFORMATIONTHEORYQuantum PhysicsLossy compressioncoupling schemeTopologyComputer Science::Emerging TechnologiesControl theoryQubitHardware_ARITHMETICANDLOGICSTRUCTURESMathematical PhysicsSystem busOpen Systems & Information Dynamics
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Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic

2022

AbstractThe still ongoing pandemic of SARS-CoV-2 virus and COVID-19 disease, affecting the population worldwide, has demonstrated the need of more accurate methodologies for assessing, monitoring, and controlling an outbreak of such devastating proportions. Authoritative attempts have been made in traditional fields of medicine (epidemiology, virology, infectiology) to address these shortcomings, mainly by relying on mathematical and statistical modeling. However, here, we propose approaching the methodological work from a different, and to some extent alternative, standpoint. Applied systematically, the concepts and tools of statistical engineering and quality management, developed not onl…

Statistics and ProbabilityCovid-19 Data monitoring Early warning Pandemic Statistical process control Statistical surveillanceSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaGeneral Social Sciences
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On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search

2018

Random Walks (RWs) have been extensively studied for more than a century [1]. These walks have traditionally been on a line, and the generalizations for two and three dimensions, have been by extending the random steps to the corresponding neighboring positions in one or many of the dimensions. Among the most popular RWs on a line are the various models for birth and death processes, renewal processes and the gambler’s ruin problem. All of these RWs operate “on a discretized line”, and the walk is achieved by performing small steps to the current-state’s neighbor states. Indeed, it is this neighbor-step motion that renders their analyses tractable. When some of the transitions are to non-ne…

Statistics and ProbabilityCurrent (mathematics)Learning systemsRandom walk jumpsDichotomous searches02 engineering and technologyState (functional analysis)Random walkTime reversibilityBirth–death process020202 computer hardware & architectureChain (algebraic topology)020204 information systemsModeling and SimulationLine (geometry)Controlled random walks0202 electrical engineering electronic engineering information engineeringJumpStatistical physicsTime reversibilitiesMathematics
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Dynamic-Interactive Graphics for Statistics (26 years later)

2014

This paper briefly reviews the history of dynamic-interactive graphicsfor statistics, introduces an example of such graphics, and provides a fewglimpses as to the current state of things and the future trends we envision.The general conclusion is that dynamic-interactive graphics for statistics arethriving more than ever as they shift from the desktop to the internet. Thus,dynamic-interactive graphics are becoming increasingly important as they: 1) provide non-experts in statistics with the means to carry out analyses on their own; and 2) teach the basic concepts of statistics to students and practitioners with low to moderate  mathematics skills. Their increasingpopularity makes the lesson…

Statistics and ProbabilityDYNAMIC-GRAPHICS31 Colecciones de estadística general / StatisticsInteractive graphics//purl.org/becyt/ford/1 [https]Data visualizationStatisticsGraphicsGráficas dinámicasStatistical graphicslcsh:Statisticslcsh:HA1-4737business.industryData VisualizationSubject (documents)Dynamic Graphics//purl.org/becyt/ford/1.2 [https]PopularitySTATISTICSStatistical Graphicsgráficas dinámicas51 Matemáticas / MathematicsVisualizaciónvisualizaciónCiencias de la Computación e InformaciónThrivingThe InternetDATA-VISUALIZATIONbusinessgráficas estadísticasGráficas estadísticasCiencias de la Información y BioinformáticaCIENCIAS NATURALES Y EXACTAS
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Nonequilibrium electron spin relaxation in n-type doped GaAs sample

2019

Non-equilibrium electron spin relaxation in a n-type doped GaAs bulk semiconductor is investigated. We use a semiclassical Monte Carlo approach by considering multivalley spin dynamics of drifting electrons. Spin relaxation is considered through the D'yakonov-Perel mechanism, which is the dominant process in III-V semiconductors. An analytical expression for the inhomogeneous broadening of spin precession vector is derived by taking into account the effect of the electric field and the doping density. The inclusion of electron-electron scattering has the effect of increasing both the spin lifetime and the depolarization length. In particular, we find a non-monotonic trend with the maximum o…

Statistics and ProbabilityDYNAMICSMaterials scienceSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciCondensed matter physicsDopingNon-equilibrium thermodynamicsStatistical and Nonlinear PhysicsCARRIERSSample (graphics)SEMICONDUCTORSTRANSPORTSettore FIS/03 - Fisica Della MateriaNOISESPINTRONICSRelaxation (physics)SCATTERINGStatistics Probability and UncertaintySILICONDRIFTING ELECTRONSPATTERN-FORMATION
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The History of ViSta: The Visual Statistics System

2012

ViSta is a project that focuses on dynamic and interactive graphics for statistics and was initiated by the late Forrest W. Young at the beginning of the 1990s. For over approximately 20 years, Forrest and other collaborators, including the authors of this article, have used ViSta for experimenting with these kinds of graphics in different settings, applying them to different scenarios of data and statistical analysis, searching to develop the right combination of features most appropriate in each case. In this time, ViSta evolved quite considerably, going through what we reckon were three different stages, namely: the initial one setting forth the foundations of ViSta; the second period wh…

Statistics and ProbabilityData visualizationComputer sciencebusiness.industryStatisticsTributeStatistical analysisGraphicsbusinessStatistical graphicsPeriod (music)Interactive graphicsWiley Interdisciplinary Reviews: Computational Statistics
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Statistical inference and Monte Carlo algorithms

1996

This review article looks at a small part of the picture of the interrelationship between statistical theory and computational algorithms, especially the Gibbs sampler and the Accept-Reject algorithm. We pay particular attention to how the methodologies affect and complement each other.

Statistics and ProbabilityDecision theoryMonte Carlo methodMarkov chain Monte CarloStatistics::ComputationComplement (complexity)symbols.namesakeStatistical inferencesymbolsMonte Carlo method in statistical physicsStatistics Probability and UncertaintyStatistical theoryAlgorithmGibbs samplingMathematicsTest
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New approach to numerical computation of the eigenfunctions of the continuous spectrum of three-particle Schrödinger operator: I. One-dimensional par…

2009

Basing on analogy between the three-body scattering problem and the diffraction problem of the plane wave (for the case of the short range pair potentials) by the system of six half transparent screens, we presented a new approach to the few-body scattering problem. The numerical results have been obtained for the case of the short range nonnegative pair potentials. The presented method allows a natural generalization to the case of the long range pair potentials.

Statistics and ProbabilityDiffractionGeneralizationScattering34L25 81U08ComputationOperator (physics)Continuous spectrumMathematical analysisPlane waveGeneral Physics and AstronomyStatistical and Nonlinear PhysicsGeometryEigenfunctionModeling and SimulationMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Intensity estimation for inhomogeneous Gibbs point process with covariates-dependent chemical activity

2014

Recent development of intensity estimation for inhomogeneous spatial point processes with covariates suggests that kerneling in the covariate space is a competitive intensity estimation method for inhomogeneous Poisson processes. It is not known whether this advantageous performance is still valid when the points interact. In the simplest common case, this happens, for example, when the objects presented as points have a spatial dimension. In this paper, kerneling in the covariate space is extended to Gibbs processes with covariates-dependent chemical activity and inhibitive interactions, and the performance of the approach is studied through extensive simulation experiments. It is demonstr…

Statistics and ProbabilityDimensionality reductionNonparametric statisticsPoisson distributionPoint processsymbols.namesakeDimension (vector space)CovariatesymbolsEconometricsStatistics::MethodologyStatistical physicsStatistics Probability and UncertaintySmoothingMathematicsParametric statisticsStatistica Neerlandica
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