Search results for "model theory"

showing 10 items of 681 documents

Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings

2021

AbstractPreference data are a particular type of ranking data where some subjects (voters, judges,...) express their preferences over a set of alternatives (items). In most real life cases, some items receive the same preference by a judge, thus giving rise to a ranking with ties. An important issue involving rankings concerns the aggregation of the preferences into a “consensus”. The purpose of this paper is to investigate the consensus between rankings with ties, taking into account the importance of swapping elements belonging to the top (or to the bottom) of the ordering (position weights). By combining the structure of $$\tau _x$$ τ x proposed by Emond and Mason (J Multi-Criteria Decis…

Statistics and ProbabilityClass (set theory)Correlation coefficientApplied Mathematics02 engineering and technologyType (model theory)01 natural sciencesComputer Science ApplicationsSet (abstract data type)010104 statistics & probabilityRankingPosition (vector)StatisticsWeighted Rank correlation coefficient Weighted Kemeny distance Position weightsTies0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0101 mathematicsSettore SECS-S/01 - StatisticaPreference (economics)MathematicsRank correlationAdvances in Data Analysis and Classification
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Vector coherent states and intertwining operators

2009

In this paper we discuss a general strategy to construct vector coherent states of the Gazeau-Klauder type and we use them to built up examples of isospectral hamiltonians. For that we use a general strategy recently proposed by the author and which extends well known facts on intertwining operators. We also discuss the possibility of constructing non-isospectral hamiltonians with related eigenstates.

Statistics and ProbabilityComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Construct (python library)Intertwining operatorcoherent statesType (model theory)AlgebraIsospectralOperator (computer programming)Modeling and SimulationCoherent statesMathematics::Mathematical PhysicsSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsMathematical Physics
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Archetypoids: A new approach to define representative archetypal data

2015

[EN] The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, archetypoids are real observations, not a mixture of observations. This is relevant when existing archetypal observations are needed, rather than fictitious ones. An algorithm is proposed to find them and some of their theoretical properties are introduced. It is also shown how they can be obtained when only dissimilarities between observations are known (features are unavailable). Archetypoid analysis is illustrated in two design problems and several examples, compar…

Statistics and ProbabilityConvex hullArchetypebusiness.industryApplied MathematicsNon-negative matrix factorizationExtremal pointType (model theory)Unsupervised learningNon-negative matrix factorizationComputational MathematicsComputational Theory and MathematicsConvex hullUnsupervised learningExtremal pointArtificial intelligencebusinessArchetypeMathematics
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Ergodicity for a stochastic Hodgkin–Huxley model driven by Ornstein–Uhlenbeck type input

2013

We consider a model describing a neuron and the input it receives from its dendritic tree when this input is a random perturbation of a periodic deterministic signal, driven by an Ornstein-Uhlenbeck process. The neuron itself is modeled by a variant of the classical Hodgkin-Huxley model. Using the existence of an accessible point where the weak Hoermander condition holds and the fact that the coefficients of the system are analytic, we show that the system is non-degenerate. The existence of a Lyapunov function allows to deduce the existence of (at most a finite number of) extremal invariant measures for the process. As a consequence, the complexity of the system is drastically reduced in c…

Statistics and ProbabilityDegenerate diffusion processesWeak Hörmander conditionType (model theory)01 natural sciencesPeriodic ergodicity010104 statistics & probability60H0760J25FOS: Mathematics0101 mathematicsComputingMilieux_MISCELLANEOUSMathematical physicsMathematics60J60Quantitative Biology::Neurons and CognitionProbability (math.PR)010102 general mathematicsErgodicityOrnstein–Uhlenbeck processHodgkin–Huxley model[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Hodgkin–Huxley model60J60 60J25 60H07Statistics Probability and UncertaintyTime inhomogeneous diffusion processesMathematics - Probability
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The multichoice consistent value

2000

We consider multichoice NTU games, i.e., cooperative NTU games in which players can participate in the game with several levels of activity. For these games, we define and characterize axiomatically the multichoice consistent value, which is a generalization of the consistent NTU value for NTU games and of the multichoice value for multichoice TU games. Moreover, we show that this value coincides with the consistent NTU value of a replicated NTU game and we provide a probabilistic interpretation.

Statistics and ProbabilityEconomics and EconometricsMathematics (miscellaneous)GeneralizationProbabilistic logicNTU games · consistent NTU value · multichoice valueStatistics Probability and UncertaintyValue (mathematics)Mathematical economicsSocial Sciences (miscellaneous)MathematicsInterpretation (model theory)
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Partition function of the trigonometric SOS model with reflecting end

2010

We compute the partition function of the trigonometric SOS model with one reflecting end and domain wall type boundary conditions. We show that in this case, instead of a sum of determinants obtained by Rosengren for the SOS model on a square lattice without reflection, the partition function can be represented as a single Izergin determinant. This result is crucial for the study of the Bethe vectors of the spin chains with non-diagonal boundary terms.

Statistics and ProbabilityHigh Energy Physics - Theory[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Domain wall boundary conditionsopen spin chainsFOS: Physical sciencesBoundary (topology)Type (model theory)01 natural sciences[ PHYS.HTHE ] Physics [physics]/High Energy Physics - Theory [hep-th]Domain wall (string theory)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesASEPBoundary value problem010306 general physicsMathematical PhysicsMathematicsPartition function (quantum field theory)010308 nuclear & particles physics[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]Mathematical analysis[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Algebraic Bethe ansatzStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Square latticeReflection (mathematics)High Energy Physics - Theory (hep-th)[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Statistics Probability and UncertaintyTrigonometry
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Multitype spatial point patterns with hierarchical interactions.

2001

Multitype spatial point patterns with hierarchical interactions are considered. Here hierarchical interaction means directionality: points on a higher level of hierarchy affect the locations of points on the lower levels, but not vice versa. Such relations are common, for example, in ecological communities. Interacting point patterns are often modeled by Gibbs processes with pairwise interactions. However, these models are inherently symmetric, and the hierarchy can be acknowledged only when interpreting the results. We suggest the following in allowing the inclusion of the hierarchical structure in the model. Instead of regarding the pattern as a realization of a stationary multivariate po…

Statistics and ProbabilityLikelihood FunctionsBiometryModels StatisticalGeneral Immunology and MicrobiologyHierarchy (mathematics)AntsApplied MathematicsStructure (category theory)UnivariateGeneral MedicineType (model theory)General Biochemistry Genetics and Molecular BiologyPoint processCombinatoricsSpecies SpecificityMultivariate AnalysisAnimalsPairwise comparisonPoint (geometry)Statistical physicsGeneral Agricultural and Biological SciencesRealization (probability)EcosystemMathematicsBiometrics
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On a set of data for the membrane potential in a neuron

2006

We consider a set of data where the membrane potential in a pyramidal neuron is measured almost continuously in time, under varying experimental conditions. We use nonparametric estimates for the diffusion coefficient and the drift in view to contribute to the discussion which type of diffusion process is suitable to model the membrane potential in a neuron (more exactly: in a particular type of neuron under particular experimental conditions).

Statistics and ProbabilityModels NeurologicalNeural ConductionAction PotentialsTetrodotoxinType (model theory)Statistics NonparametricGeneral Biochemistry Genetics and Molecular BiologyMembrane PotentialsSet (abstract data type)MiceStatisticsAnimalsDiffusion (business)MathematicsCerebral CortexNeuronsMembrane potentialStochastic ProcessesQuantitative Biology::Neurons and CognitionGeneral Immunology and MicrobiologyStochastic processPyramidal CellsApplied MathematicsNonparametric statisticsGeneral MedicineElectrophysiologyElectrophysiologynervous systemDiffusion processModeling and SimulationPotassiumGeneral Agricultural and Biological SciencesBiological systemAlgorithmsMathematical Biosciences
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A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR model.

2006

Abstract Motivation: The general-time-reversible (GTR) model is one of the most popular models of nucleotide substitution because it constitutes a good trade-off between mathematical tractability and biological reality. However, when it is applied for inferring evolutionary distances and/or instantaneous rate matrices, the GTR model seems more prone to inapplicability than more restrictive time-reversible models. Although it has been previously noted that the causes for intractability are caused by the impossibility of computing the logarithm of a matrix characterised by negative eigenvalues, the issue has not been investigated further. Results: Here, we formally characterize the mathematic…

Statistics and ProbabilityOptimization problemBase Pair MismatchBiochemistryLinkage DisequilibriumNonlinear programmingInterpretation (model theory)Evolution MolecularApplied mathematicsComputer SimulationDivergence (statistics)Molecular BiologyEigenvalues and eigenvectorsPhylogenyMathematicsSequenceModels GeneticSubstitution (logic)Chromosome MappingGenetic VariationSequence Analysis DNAComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsNonlinear DynamicsLogarithm of a matrixAlgorithmAlgorithmsBioinformatics (Oxford, England)
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Casimir-Polder forces, boundary conditions and fluctuations

2008

We review different aspects of the atom-atom and atom-wall Casimir-Polder forces. We first discuss the role of a boundary condition on the interatomic Casimir-Polder potential between two ground-state atoms, and give a physically transparent interpretation of the results in terms of vacuum fluctuations and image atomic dipoles. We then discuss the known atom-wall Casimir-Polder force for ground- and excited-state atoms, using a different method which is also suited for extension to time-dependent situations. Finally, we consider the fluctuation of the Casimir-Polder force between a ground-state atom and a conducting wall, and discuss possible observation of this force fluctuation.

Statistics and ProbabilityPhysicsCondensed Matter::Quantum GasesQuantum PhysicsGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsInteratomic potentialInterpretation (model theory)Condensed Matter - Other Condensed MatterCasimir effectDipoleClassical mechanicsModeling and SimulationExcited stateAtomPhysics::Atomic and Molecular ClustersCasimir-Polder forcesBoundary value problemPhysics::Atomic PhysicsQuantum Physics (quant-ph)Mathematical PhysicsQuantum fluctuationOther Condensed Matter (cond-mat.other)
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