Search results for "probability"

showing 10 items of 3417 documents

Large-distance asymptotic behaviour of multi-point correlation functions in massless quantum models

2014

We provide a microscopic model setting that allows us to readily access to the large-distance asymptotic behaviour of multi-point correlation functions in massless, one-dimensional, quantum models. The method of analysis we propose is based on the form factor expansion of the correlation functions and does not build on any field theory reasonings. It constitutes an extension of the restricted sum techniques leading to the large-distance asymptotic behaviour of two-point correlation functions obtained previously.

Statistics and Probability[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]FOS: Physical sciences01 natural sciencesCorrelation0103 physical sciencesField theory (psychology)[NLIN.NLIN-SI]Nonlinear Sciences [physics]/Exactly Solvable and Integrable Systems [nlin.SI]Statistical physics010306 general physicsQuantumMathematical PhysicsCondensed Matter - Statistical MechanicsMulti pointPhysicsNonlinear Sciences - Exactly Solvable and Integrable SystemsStatistical Mechanics (cond-mat.stat-mech)010308 nuclear & particles physics[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]Form factor (quantum field theory)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)Method of analysisExtension (predicate logic)Massless particleExactly Solvable and Integrable Systems (nlin.SI)Statistics Probability and Uncertainty
researchProduct

Integrable Hamiltonian systems with swallowtails

2010

International audience; We consider two-degree-of-freedom integrable Hamiltonian systems with bifurcation diagrams containing swallowtail structures. The global properties of the action coordinates in such systems together with the parallel transport of the period lattice and corresponding quantum cells in the joint spectrum are described in detail. The relation to the concept of bidromy which was introduced in Sadovski´ı and Zhilinski´ı (2007 Ann. Phys. 322 164–200) is discussed.

Statistics and Probability[PHYS.PHYS.PHYS-CLASS-PH]Physics [physics]/Physics [physics]/Classical Physics [physics.class-ph]Integrable systemSINGULARITIESCoordinate systemGeneral Physics and Astronomy01 natural sciencesHamiltonian system[ PHYS.PHYS.PHYS-CLASS-PH ] Physics [physics]/Physics [physics]/Classical Physics [physics.class-ph]FRACTIONAL MONODROMY0103 physical sciences0101 mathematics010306 general physicsQuantumMathematical PhysicsBifurcationMathematicsMathematical physicsParallel transportSPHERICAL PENDULUMGEOMETRY010102 general mathematicsSpherical pendulumMathematical analysisStatistical and Nonlinear PhysicsRESONANCESACKER FAMILIESModeling and SimulationLIOUVILLEGravitational singularity
researchProduct

Infant mortality across species. A global probe of congenital abnormalities

2019

Infant mortality, by which we understand the postnatal stage during which mortality is declining, is a manifestation and embodiment of congenital abnormalities. Severe defects will translate into death occurring shortly after birth whereas slighter anomalies may contribute to death much later, possibly only in adult age. While for many species birth defects would be nearly impossible to identify, infant mortality provides a convenient global assessment. In the present paper we examine a broad range of species from mammals to fish to gastropods to insects. One of the objectives of our comparative analysis is to test a conjecture suggested by reliability engineering according to which the fre…

Statistics and Probability[PHYS]Physics [physics]Range (biology)Mortality rateFOS: Physical sciencesStatistical and Nonlinear PhysicsPostnatal StageBiology01 natural sciencesAdult ageQuantitative Biology - Quantitative MethodsInfant mortality010305 fluids & plasmas3. Good healthBiological Physics (physics.bio-ph)FOS: Biological sciences0103 physical sciencesFish <Actinopterygii>Physics - Biological Physics010306 general physicsQuantitative Methods (q-bio.QM)Demography
researchProduct

Brownian motion in trapping enclosures: Steep potential wells, bistable wells and false bistability of induced Feynman-Kac (well) potentials

2019

We investigate signatures of convergence for a sequence of diffusion processes on a line, in conservative force fields stemming from superharmonic potentials $U(x)\sim x^m$, $m=2n \geq 2$. This is paralleled by a transformation of each $m$-th diffusion generator $L = D\Delta + b(x)\nabla $, and likewise the related Fokker-Planck operator $L^*= D\Delta - \nabla [b(x)\, \cdot]$, into the affiliated Schr\"{o}dinger one $\hat{H}= - D\Delta + {\cal{V}}(x)$. Upon a proper adjustment of operator domains, the dynamics is set by semigroups $\exp(tL)$, $\exp(tL_*)$ and $\exp(-t\hat{H})$, with $t \geq 0$. The Feynman-Kac integral kernel of $\exp(-t\hat{H})$ is the major building block of the relaxatio…

Statistics and Probabilitybistable wellsBlock (permutation group theory)General Physics and AstronomyFOS: Physical sciencessteep wellsMathematics - Spectral Theorysymbols.namesakeFeynman–Kac potentialsFOS: MathematicsFeynman diagramNabla symbolSpectral Theory (math.SP)Condensed Matter - Statistical MechanicsMathematical PhysicsBrownian motionEigenvalues and eigenvectorsMathematical physicsPhysicsQuantum PhysicsSubharmonic functionStatistical Mechanics (cond-mat.stat-mech)Generator (category theory)Probability (math.PR)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)trapping enclosuresboundary dataModeling and SimulationsymbolsBrownian motionQuantum Physics (quant-ph)Laplace operatorMathematics - Probability
researchProduct

Segmented relationships to model erosion of regression effect in Cox regression

2010

In this article we propose a parsimonious parameterisation to model the so-called erosion of the covariate effect in the Cox model, namely a covariate effect approaching to zero as the follow-up time increases. The proposed parameterisation is based on the segmented relationship where proper constraints are set to accomodate for the erosion. Relevant hypothesis testing is discussed. The approach is illustrated on two historical datasets in the survival analysis literature, and some simulation studies are presented to show how the proposed framework leads to a test for a global effect with good power as compared with alternative procedures. Finally, possible generalisations are also present…

Statistics and ProbabilitybreakpointEpidemiologyProportional hazards modelLiver Cirrhosis BiliaryErosion (morphology)Lupus NephritisSet (abstract data type)Segmented regressionHealth Information ManagementNonlinear DynamicsRegression toward the meanCox modelCovariateStatisticsEconometricsHumansComputer SimulationSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticaerosion of effectStatistical hypothesis testingMathematicsFollow-Up StudiesProportional Hazards Models
researchProduct

Reference Posterior Distributions for Bayesian Inference

1979

Statistics and Probabilitybusiness.industry010102 general mathematicsBayes factorPattern recognitionBayesian inference01 natural sciencesBayesian statistics010104 statistics & probabilityFrequentist inferenceFiducial inferenceStatistical inferenceBayesian experimental designArtificial intelligence0101 mathematicsBayesian linear regressionbusinessMathematicsJournal of the Royal Statistical Society: Series B (Methodological)
researchProduct

Bayesian measures of surprise for outlier detection

2003

From a Bayesian point of view, testing whether an observation is an outlier is usually reduced to a testing problem concerning a parameter of a contaminating distribution. This requires elicitation of both (i) the contaminating distribution that generates the outlier and (ii) prior distributions on its parameters. However, very little information is typically available about how the possible outlier could have been generated. Thus easy, preliminary checks in which these assessments can often be avoided may prove useful. Several such measures of surprise are derived for outlier detection in normal models. Results are applied to several examples. Default Bayes factors, where the contaminating…

Statistics and Probabilitybusiness.industryApplied MathematicsBayesian probabilityPosterior probabilityPattern recognitionBayes factorStatisticsPrior probabilityOutlierNuisance parameterAnomaly detectionArtificial intelligenceStatistics Probability and UncertaintybusinessMathematicsStatistical hypothesis testingJournal of Statistical Planning and Inference
researchProduct

Resuming Shapes with Applications

2004

Many image processing tasks need some kind of average of different shapes. Frequently, different shapes obtained from several images have to be summarized. If these shapes can be considered as different realizations of a given random compact set, then the natural summaries are the different mean sets proposed in the literature. In this paper, new mean sets are defined by using the basic transformations of Mathematical Morphology (dilation, erosion, opening and closing). These new definitions can be considered, under some additional assumptions, as particular cases of the distance average of Baddeley and Molchanov. The use of the former and new mean sets as summary descriptors of shapes is i…

Statistics and Probabilitybusiness.industryApplied MathematicsNoise reductionImage processingMathematical morphologyCondensed Matter PhysicsConfidence intervalCompact spaceModeling and SimulationRandom compact setDilation (morphology)SegmentationComputer visionGeometry and TopologyComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmMathematicsJournal of Mathematical Imaging and Vision
researchProduct

Electricity consumption prediction with functional linear regression using spline estimators

2010

A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends’ or oncoming weekdays’ consumption, provided actual weekdays’ consumption is known. A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.

Statistics and Probabilitybusiness.industryB-splineEstimatorelectricity consumption in SardiniaSpline (mathematics)functional linear regressionfunctional responseB-splineARH(1)StatisticsEconometricspenalized least squareElectricityStatistics Probability and UncertaintybusinessFunctional linear regressionMathematicsJournal of Applied Statistics
researchProduct

Outlier detection with automatic modelling: TRAMO/SEATS versus X-12-ARIMA

2012

Statistics and Probabilitybusiness.industryComputer scienceApplied MathematicsModeling and SimulationPattern recognitionAnomaly detectionData miningArtificial intelligenceAutoregressive integrated moving averagecomputer.software_genrebusinesscomputerModel Assisted Statistics and Applications
researchProduct