Search results for "modeling"

showing 10 items of 4489 documents

Design-based estimation for geometric quantiles with application to outlier detection

2010

Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses the geometry of multivariate data clouds. A very important application of geometric quantiles is the detection of outliers in multivariate data by means of quantile contours. A design-based estimator of geometric quantiles is constructed and used to compute quantile contours in order to detect outliers in both multivariate data and survey sampling set-ups. An algorithm for computing geometric quantile estimates is also developed. Under broad assumptions, the asymptotic variance of the quantile estimator is derived an…

Statistics and ProbabilityStatistics::TheoryTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESStatistics::ApplicationsComputingMethodologies_SIMULATIONANDMODELINGApplied MathematicsMathematicsofComputing_NUMERICALANALYSISUnivariateInformationSystems_DATABASEMANAGEMENTEstimatorStatistics::ComputationQuantile regressionHorvitz–Thompson estimatorComputational MathematicsDelta methodComputational Theory and MathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYOutlierConsistent estimatorStatisticsStatistics::MethodologyMathematicsQuantileComputational Statistics & Data Analysis
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A hypothetical model of the influence of inorganic phosphate on the kinetics of pyruvate kinase

2000

This paper presents a simple solution to the problem of approximating the calculated curve of reaction progress to the measured curve which is usually disturbed by initial oscillation of auxiliary lactate dehydrogenase (LDH) reaction. The experiments leading to the determination of the apparent Km for phosphoenolpyruvate (PEP) and Vm were performed. For precise estimation of kinetic parameters (Km and Vm) of the M1 isozyme of pyruvate kinase (PK), measured by coupling it to LDH reaction, the sequence of Michaelis‐Menten for pyruvate kinase and second-order kinetics for lactate dehydrogenase reaction as well as a non-zero initial concentration of lactate was assumed. The functions of apparen…

Statistics and ProbabilityStereochemistryPyruvate KinaseIn Vitro TechniquesModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyPhosphatesPhosphoenolpyruvatechemistry.chemical_compoundAdenosine TriphosphateLactate dehydrogenaseAnimalsEnzyme kineticsEnzyme InhibitorsL-Lactate DehydrogenaseKinaseApplied MathematicsGeneral MedicineNADPhosphateAdenosine DiphosphateDissociation constantKineticsBiochemistrychemistryModeling and SimulationCattleUncompetitive inhibitorPhosphoenolpyruvate carboxykinasePyruvate kinaseBiosystems
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On the stability and ergodicity of adaptive scaling Metropolis algorithms

2011

The stability and ergodicity properties of two adaptive random walk Metropolis algorithms are considered. The both algorithms adjust the scaling of the proposal distribution continuously based on the observed acceptance probability. Unlike the previously proposed forms of the algorithms, the adapted scaling parameter is not constrained within a predefined compact interval. The first algorithm is based on scale adaptation only, while the second one incorporates also covariance adaptation. A strong law of large numbers is shown to hold assuming that the target density is smooth enough and has either compact support or super-exponentially decaying tails.

Statistics and ProbabilityStochastic approximationMathematics - Statistics TheoryStatistics Theory (math.ST)Law of large numbersMultiple-try Metropolis01 natural sciencesStability (probability)010104 statistics & probabilityModelling and Simulation65C40 60J27 93E15 93E35Adaptive Markov chain Monte CarloFOS: Mathematics0101 mathematicsScalingMetropolis algorithmMathematicsta112Applied Mathematics010102 general mathematicsRejection samplingErgodicityProbability (math.PR)ta111CovarianceRandom walkMetropolis–Hastings algorithmModeling and SimulationAlgorithmStabilityMathematics - ProbabilityStochastic Processes and their Applications
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Testing for local structure in spatiotemporal point pattern data

2017

The detection of clustering structure in a point pattern is one of the main focuses of attention in spatiotemporal data mining. Indeed, statistical tools for clustering detection and identification of individual events belonging to clusters are welcome in epidemiology and seismology. Local second-order characteristics provide information on how an event relates to nearby events. In this work, we extend local indicators of spatial association (known as LISA functions) to the spatiotemporal context (which will be then called LISTA functions). These functions are then used to build local tests of clustering to analyse differences in local spatiotemporal structures. We present a simulation stud…

Statistics and ProbabilityStructure (mathematical logic)010504 meteorology & atmospheric sciencesEvent (computing)Ecological ModelingAssociation (object-oriented programming)Context (language use)computer.software_genre01 natural sciences010104 statistics & probabilityIdentification (information)Point (geometry)Data mining0101 mathematicsCluster analysiscomputer0105 earth and related environmental sciencesStatistical hypothesis testingMathematicsEnvironmetrics
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Misinterpretation risks of global stochastic optimisation of kinetic models revealed by multiple optimisation runs

2016

Abstract One of use cases for metabolic network optimisation of biotechnologically applied microorganisms is the in silico design of new strains with an improved distribution of metabolic fluxes. Global stochastic optimisation methods (genetic algorithms, evolutionary programing, particle swarm and others) can optimise complicated nonlinear kinetic models and are friendly for unexperienced user: they can return optimisation results with default method settings (population size, number of generations and others) and without adaptation of the model. Drawbacks of these methods (stochastic behaviour, undefined duration of optimisation, possible stagnation and no guaranty of reaching optima) cau…

Statistics and ProbabilitySucroseMathematical optimizationComputer scienceSystems biology0206 medical engineeringMetabolic network02 engineering and technologyModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesYeastsConvergence (routing)HomeostasisUse caseLimit (mathematics)030304 developmental biologyStochastic Processes0303 health sciencesGeneral Immunology and MicrobiologyApplied MathematicsParticle swarm optimizationGeneral MedicineEnzymesSaccharumConstraint (information theory)Nonlinear systemModeling and SimulationGeneral Agricultural and Biological SciencesMetabolic Networks and Pathways020602 bioinformaticsMathematical Biosciences
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A many-body approach to transport in quantum systems : From the transient regime to the stationary state

2022

We review one of the most versatile theoretical approaches to the study of time-dependent correlated quantum transport in nano-systems: the non-equilibrium Green's function (NEGF) formalism. Within this formalism, one can treat, on the same footing, inter-particle interactions, external drives and/or perturbations, and coupling to baths with a (piece-wise) continuum set of degrees of freedom. After a historical overview on the theory of transport in quantum systems, we present a modern introduction of the NEGF approach to quantum transport. We discuss the inclusion of inter-particle interactions using diagrammatic techniques, and the use of the so-called embedding and inbedding techniques w…

Statistics and ProbabilityTIME-DEPENDENT TRANSPORTKADANOFF-BAYM EQUATIONSGeneral Physics and AstronomyFOS: Physical sciencesnon-equilibrium Green's functionGREENS-FUNCTIONDENSITY-FUNCTIONAL THEORYCondensed Matter - Strongly Correlated ElectronsPhysics - Chemical PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)COHERENT TRANSPORTSINGLE-MOLECULEkvanttifysiikkamany-body correlationMathematical Physicsquantum transportMEAN-FIELD THEORYChemical Physics (physics.chem-ph)Quantum PhysicsANDERSON-HOLSTEIN MODELCondensed Matter - Mesoscale and Nanoscale PhysicsStrongly Correlated Electrons (cond-mat.str-el)Statistical and Nonlinear PhysicsCHARGE MIGRATIONModeling and Simulationnon-equilibrium Green’s functionQuantum Physics (quant-ph)SHOT-NOISE
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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Achieving Unbounded Resolution inFinitePlayer Goore Games Using Stochastic Automata, and Its Applications

2012

Abstract This article concerns the sequential solution to a distributed stochastic optimization problem using learning automata and the Goore game (also referred to as the Gur game in the related literature). The amazing thing about our solution is that, unlike traditional methods, which need N automata (where N determines the degree of accuracy), in this article, we show that we can obtain arbitrary accuracy by recursively using only three automata. To be more specific, the Goore game (GG) introduced in Tsetlin (1973) has the fascinating property that it can be resolved in a completely distributed manner with no inter-communication between the players. The game has recently found applicati…

Statistics and ProbabilityTheoretical computer scienceLearning automataSequential gameModeling and SimulationCombinatorial game theoryStochastic optimizationRouting (electronic design automation)Wireless sensor networkField (computer science)MathematicsAutomatonSequential Analysis
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Comment on "Ecological importance of the thermal emissivity of avian eggshells".

2012

Eggshell emissivity must be known to determine accurately the cooling rate of avian eggs when the parent, after heating by conduction during the incubation, is temporarily absent. We estimate possible values of eggshell emissivities from in-situ measurements and spectral libraries. Emissivity is near to 1 (probably higher than 0.95) and therefore its effect on cooling rate may be negligible, with differences between the temperature of the egg assuming a value of e=0.95 and that of a blackbody (e=1) below 0.2 °C.

Statistics and ProbabilityThermal infraredMaterials scienceGeneral Immunology and MicrobiologyEcologyApplied MathematicsGeneral MedicineThermal conductionModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyBirdsEgg ShellCooling rateThermal radiationModeling and SimulationEmissivityAnimalsBlack-body radiationEggshellGeneral Agricultural and Biological SciencesBody Temperature RegulationJournal of theoretical biology
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ARC A computerized system for urban garbage collection

1993

In this paper we present ARC a computerized system developed for urban garbage collection. The package is intended to help the planners in the design of efficient collection routes and to facilitate the study and evaluation of alternatives concerning issues such as the type and number of vehicles, frequency of collection and type and location of refuse containers. The final product is a “user friendly” system designed to be used by the planners without outside assistance.

Statistics and ProbabilityUser FriendlyInformation Systems and ManagementDatabaseComputer sciencebusiness.industryFinal productManagement Science and Operations Researchcomputer.software_genreArc (geometry)Modeling and SimulationEmbedded systemVehicle routing problemDiscrete Mathematics and CombinatoricsComputerized systemHeuristicsbusinesscomputerGarbage collectionTop
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