Search results for "convergence [keyword]"

showing 10 items of 30 documents

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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From Feynman–Kac formulae to numerical stochastic homogenization in electrical impedance tomography

2016

In this paper, we use the theory of symmetric Dirichlet forms to derive Feynman–Kac formulae for the forward problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities corresponding to different electrode models on bounded Lipschitz domains. Subsequently, we employ these Feynman–Kac formulae to rigorously justify stochastic homogenization in the case of a stochastic boundary value problem arising from an inverse anomaly detection problem. Motivated by this theoretical result, we prove an estimate for the speed of convergence of the projected mean-square displacement of the underlying process which may serve as the theoretical foundation for the de…

65C05Statistics and Probability65N21stochastic homogenizationquantitative convergence result01 natural sciencesHomogenization (chemistry)78M40general reflecting diffusion process010104 statistics & probabilitysymbols.namesakeFeynman–Kac formula60J4535Q60Applied mathematicsFeynman diagramBoundary value problemSkorohod decomposition0101 mathematicsElectrical impedance tomographyBrownian motionMathematicsrandom conductivity field65N75010102 general mathematicsFeynman–Kac formulaLipschitz continuityBounded functionstochastic forward problemsymbols60J55Statistics Probability and Uncertainty60H30electrical impedance tomographyThe Annals of Applied Probability
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Optimal rates of convergence for persistence diagrams in Topological Data Analysis

2013

Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topological persistence, or persistent homology, appears as a fundamental tool in this field. In this paper, we study topological persistence in general metric spaces, with a statistical approach. We show that the use of persistent homology can be naturally considered in general statistical frameworks and persistence diagrams can be used as statistics with interesting convergence properties. Some numerical experiments are performed in various contexts to illustrate our results.

Computational Geometry (cs.CG)FOS: Computer and information sciences[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Topological Data analysis Persistent homology minimax convergence rates geometric complexes metric spacesGeometric Topology (math.GT)Mathematics - Statistics TheoryStatistics Theory (math.ST)[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Machine Learning (cs.LG)Computer Science - LearningMathematics - Geometric Topology[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: Mathematics[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science - Computational Geometry[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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Convergence Theorems for Varying Measures Under Convexity Conditions and Applications

2022

AbstractIn this paper, convergence theorems involving convex inequalities of Copson’s type (less restrictive than monotonicity assumptions) are given for varying measures, when imposing convexity conditions on the integrable functions or on the measures. Consequently, a continuous dependence result for a wide class of differential equations with many interesting applications, namely measure differential equations (including Stieltjes differential equations, generalized differential problems, impulsive differential equations with finitely or countably many impulses and also dynamic equations on time scales) is provided.

Convergence of measuresconvex inequalitymeasure differential equationsSettore MAT/05 - Analisi MatematicaGeneral Mathematicscontinuous dependence
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Analysis and approximation of one-dimensional scalar conservation laws with general point constraints on the flux

2016

We introduce and analyze a class of models with nonlocal point constraints for traffic flow through bottlenecks, such as exits in the context of pedestrians traffic and reduction of lanes on a road under construction in vehicular traffic. Constraints are defined based on data collected from non-local in space and/or in time observations of the flow. We propose a theoretical analysis and discretization framework that permits to include different data acquisition strategies; a numerical comparison is provided. Nonlocal constraint allows to model, e.g., the irrational behavior (" panic ") near the exit observed in dense crowds and the capacity drop at tollbooth in vehicular traffic. Existence …

Crowd dynamicsMathematical optimizationFixed point argumentsDiscretizationGeneral MathematicsScalar (mathematics)Crowd dynamics; Finite volume approximation; Nonlocal point constraint; Scalar conservation law; Vehicular traffics; Well-posedness; Mathematics (all); Applied Mathematics01 natural sciencesMSC : 35L65 90B20 65M12 76M12NONonlocal point constraintCrowdsData acquisitionMathematics (all)[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]DoorsUniqueness[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsScalar conservation lawMathematicsConservation lawVehicular trafficsFinite volume methodApplied Mathematics010102 general mathematics[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA]010101 applied mathematicsWell-posednessFinite volume schemeFinite volume approximationConvergence of approximations[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Journal de Mathématiques Pures et Appliquées
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The effects of fiscal policy shocks on the business environment

2021

Fiscal policy influences economic conditions through public spending and taxes, generating positive or negative impulses, both on short and long term. The present research focuses on analysing the effects of the discretionary changes in the fiscal policy in seven post-communist countries of the European Union during the period 2000–2018. The autoregressive distributed lag model (ARDL) has been applied in order to obtain the convergence rates to equilibrium with a clear analysis of the periods needed to achieve the long-run fiscal sustainability. Also, the error correction vector model (VECM), which is based on the autoregressive vector (VAR) model, has been used in the second part of the an…

Economics and Econometricsautoregressive distributed lag modelHF5001-6182business environmentMonetary economicsFiscal policyBusiness environmentconvergence ratesEconomicsBusiness Management and Accounting (miscellaneous)Businessmacroeconomic variablesimpulse response functionfiscal policyJournal of Business Economics and Management
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Vacuum induced berry phase: Theory and experimental proposal

2003

We investigate quantum effects in geometric phases arising when a two-level system is interacting with a quantized electromagnetic field. When the system is adiabatically driven along a closed loop in the parameter space, signatures of the field quantization are observable in the geometric phase. We propose a feasible experiment to measure these effects in cavity QED and also analyse the semi-classical limit, recovering the usual Berry phase results.

Electromagnetic fieldPhysicsJaynes–Cummings modelVacuumGround stateMathematical transformationObservableParameter spaceComputational geometryAtomic and Molecular Physics and OpticsClosed loop control systemQuantization (physics)Mathematical operatorGeometric phaseConvergence of numerical methodQuantum electrodynamicsQuantum mechanicsElectromagnetic fieldBerry connection and curvatureFunctionClosed loopLight polarizationJournal of Modern Optics
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The competitive development of flowers and ornamentals firms through the use of web-marketing strategies: a survey in the convergence objective regio…

2011

The growth of ICT, and in particular the integrated use of internet within firm marketing strategies, has brought about deep changes at both sector and firm level. Firm processes have been drastically modified in their communication and promotional aspects. In particular, firmcustomer relationships are changing and therefore internet represents a preferential means, not only for transferring the firm image in the global communication, but above all in order to build a dialogue and a continuous interaction which contribute to consumers’ fidelization. This empirical research proposal is to be considered in the framework of “Business to Consumer” relationships and is addressed to the flowers a…

Flower and ornamental plants firmconvergence RegionsEconomybusiness.industrySettore AGR/01 - Economia Ed Estimo RuraleBusinessConvergence (relationship)Online advertisingweb-marketingIndustrial organizationWebsite qualitywebsite quality
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Size-intensive decomposition of orbital energy denominators

2000

We introduce an alternative to Almlöf and Häser’s Laplace transform decomposition of orbital energy denominators used in obtaining reduced scaling algorithms in perturbation theory based methods. The new decomposition is based on the Cholesky decomposition of positive semidefinite matrices. We show that orbital denominators have a particular short and size-intensive Cholesky decomposition. The main advantage in using the Cholesky decomposition, besides the shorter expansion, is the systematic improvement of the results without the penalties encountered in the Laplace transform decomposition when changing the number of integration points in order to control the convergence. Applications will…

Laplace transformIntegrationGeneral Physics and AstronomyMinimum degree algorithmOrbital calculations ; Perturbation theory ; Convergence of numerical methods ; Integration ; Coupled cluster calculationsPositive-definite matrixPerturbation theoryUNESCO::FÍSICA::Química físicaOrbital calculationsSpecific orbital energyPhysics and Astronomy (all)Coupled cluster calculationsComputational chemistryConvergence (routing)Decomposition (computer science)Convergence of numerical methodsApplied mathematicsPhysical and Theoretical ChemistryPerturbation theory:FÍSICA::Química física [UNESCO]Cholesky decompositionMathematics
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Modeling Atmospheric Turbulence via Rapid Distortion Theory: Spectral Tensor of Velocity and Buoyancy

2017

Abstract A spectral tensor model is presented for turbulent fluctuations of wind velocity components and temperature, assuming uniform vertical gradients in mean temperature and mean wind speed. The model is built upon rapid distortion theory (RDT) following studies by Mann and by Hanazaki and Hunt, using the eddy lifetime parameterization of Mann to make the model stationary. The buoyant spectral tensor model is driven via five parameters: the viscous dissipation rate ε, length scale of energy-containing eddies L, a turbulence anisotropy parameter , gradient Richardson number (Ri) representing the local atmospheric stability, and the rate of destruction of temperature variance . Model outp…

Length scaleAtmospheric Science010504 meteorology & atmospheric sciencesK-epsilon turbulence modelFLOWVelocityTensorsWind01 natural sciencesWind speedAtmospheric temperature010305 fluids & plasmasPhysics::Fluid DynamicsEnergy-containing eddiesConvergence of numerical methodsMonin-Obukhov similarity theorySCALEPhysicsTurbulenceAtmospheric turbulenceMechanicsBuoyancySURFACE-LAYER TURBULENCEClassical mechanicsFluxesStratified turbulenceSIMILARITYSIMULATIONBoundary layersStabilityBuoyancyMETEOROLOGYengineering.materialPROFILEAtmospheric thermodynamics0103 physical sciencesAtmospheric instabilityWind shearsSTABLY STRATIFIED TURBULENCETensorRapid distortion theory0105 earth and related environmental sciencesWind shearBoundary layer flowRichardson numberAtmospheric observationsViscous dissipation rateHorizontal array turbulence study field programsTurbulenceBoundary layerengineeringJournal of the Atmospheric Sciences
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