Search results for "algebra"

showing 10 items of 4129 documents

A generalization of the Binomial distribution based on the dependence ratio

2014

We propose a generalization of the Binomial distribution, called DR-Binomial, which accommodates dependence among units through a model based on the dependence ratio (Ekholm et al., Biometrika, 82, 1995, 847). Properties of the DR-Binomial are discussed, and the constraints on its parameter space are studied in detail. Likelihood-based inference is presented, using both the joint and profile likelihoods; the usefulness of the DR-Binomial in applications is illustrated on a real dataset displaying negative unit-dependence, and hence under-dispersion compared with the Binomial. Although the DR-Binomial turns out to be a reparameterization of Altham's Additive-Binomial and Kupper–Haseman's Cor…

Statistics and ProbabilityMathematics::Commutative AlgebraBinomial approximationNegative binomial distributionBinomial testNegative multinomial distributionBinomial distributionBeta-binomial distributionStatisticsApplied mathematicsMultinomial theoremMultinomial distributionStatistics Probability and UncertaintyMathematicsStatistica Neerlandica
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Three-qutrit entanglement and simple singularities

2016

In this paper, we use singularity theory to study the entanglement nature of pure three-qutrit systems. We first consider the algebraic variety $X$ of separable three-qutrit states within the projective Hilbert space $\mathbb{P}(\mathcal{H}) = \mathbb{P}^{26}$. Given a quantum pure state $|\varphi\rangle\in \mathbb{P}(\mathcal{H})$ we define the $X_\varphi$-hypersuface by cutting $X$ with a hyperplane $H_\varphi$ defined by the linear form $\langle\varphi|$ (the $X_\varphi$-hypersurface of $X$ is $X\cap H_\varphi \subset X$). We prove that when $|\varphi\rangle$ ranges over the SLOCC entanglement classes, the "worst" possible singular $X_\varphi$-hypersuface with isolated singularities, has…

Statistics and ProbabilityMathematics::Functional AnalysisQuantum PhysicsPure mathematicsSingularity theory010102 general mathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsAlgebraic varietyQuantum PhysicsQuantum entanglementSingular point of a curve01 natural sciencesMathematics - Algebraic GeometryHypersurfaceHyperplaneModeling and Simulation0103 physical sciencesProjective Hilbert space0101 mathematicsQutrit010306 general physicsMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Hydrokinetic simulations of nanoscopic precursor films in rough channels

2009

We report on simulations of capillary filling of high-wetting fluids in nano-channels with and without obstacles. We use atomistic (molecular dynamics) and hydrokinetic (lattice-Boltzmann) approaches which point out clear evidence of the formation of thin precursor films, moving ahead of the main capillary front. The dynamics of the precursor films is found to obey a square-root law as the main capillary front, z^2(t) ~ t, although with a larger prefactor, which we find to take the same value for the different geometries (2D-3D) under inspection. The two methods show a quantitative agreement which indicates that the formation and propagation of thin precursors can be handled at a mesoscopic…

Statistics and ProbabilityMesoscopic physicsMaterials scienceParametric analysisCapillary actionFluid Dynamics (physics.flu-dyn)FOS: Physical sciencesStatistical and Nonlinear PhysicsPhysics - Fluid DynamicsMechanicsCapillary fillingSquare (algebra)Settore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciPhysics::Fluid DynamicsMolecular dynamicsPoint (geometry)Statistics Probability and UncertaintyNanoscopic scale
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Affine Invariant Multivariate Sign and Rank Tests and Corresponding Estimates: a Review

1999

The paper reviews recent contributions to the statistical inference methods, tests and estimates, based on the generalized median of Oja. Multivariate analogues of sign and rank concepts, affine invariant one-sample and two-sample sign tests and rank tests, affine equivariant median and Hodges–Lehmann-type estimates are reviewed and discussed. Some comparisons are made to other generalizations. The theory is illustrated by two examples.

Statistics and ProbabilityMultivariate statisticsPure mathematicsHodges–Lehmann estimatorRank (linear algebra)StatisticsStatistical inferenceEquivariant mapSign testAffine transformationStatistics Probability and UncertaintySign (mathematics)MathematicsScandinavian Journal of Statistics
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Affine-invariant rank tests for multivariate independence in independent component models

2016

We consider the problem of testing for multivariate independence in independent component (IC) models. Under a symmetry assumption, we develop parametric and nonparametric (signed-rank) tests. Unlike in independent component analysis (ICA), we allow for the singular cases involving more than one Gaussian independent component. The proposed rank tests are based on componentwise signed ranks, à la Puri and Sen. Unlike the Puri and Sen tests, however, our tests (i) are affine-invariant and (ii) are, for adequately chosen scores, locally and asymptotically optimal (in the Le Cam sense) at prespecified densities. Asymptotic local powers and asymptotic relative efficiencies with respect to Wilks’…

Statistics and ProbabilityMultivariate statisticssingular information matricesRank (linear algebra)Gaussianuniform local asymptotic02 engineering and technology01 natural sciencesdistribution-free testsCombinatoricstests for multivariate independence010104 statistics & probabilitysymbols.namesakenormaalius0202 electrical engineering electronic engineering information engineeringApplied mathematics0101 mathematicsStatistique mathématiqueIndependence (probability theory)Parametric statisticsMathematicsDistribution-free testsuniform local asymptotic normalityNonparametric statistics020206 networking & telecommunicationsIndependent component analysisrank testsAsymptotically optimal algorithmsymbolsindependent component models62H1562G35Statistics Probability and UncertaintyUniform local asymptotic normality62G10
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Parallel Construction and Query of Index Data Structures for Pattern Matching on Square Matrices

1999

AbstractWe describe fast parallel algorithms for building index data structures that can be used to gather various statistics on square matrices. The main data structure is the Lsuffix tree, which is a generalization of the classical suffix tree for strings. Given ann×ntext matrixA, we build our data structures inO(logn) time withn2processors on a CRCW PRAM, so that we can quickly processAin parallel as follows: (i) report some statistical information aboutA, e.g., find the largest repeated square submatrices that appear at least twice inAor determine, for each position inA, the smallest submatrix that occurs only there; (ii) given, on-line, anm×mpattern matrixPAT, check whether it occurs i…

Statistics and ProbabilityNumerical AnalysisControl and OptimizationAlgebra and Number TheoryApplied MathematicsGeneral MathematicsSuffix treeParallel algorithmData structureSquare matrixSquare (algebra)law.inventionTree (data structure)lawPattern matchingAlgorithmMathematicsData compressionJournal of Complexity
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The Concept of Duality and Applications to Markov Processes Arising in Neutral Population Genetics Models

1999

One possible and widely used definition of the duality of Markov processes employs functions H relating one process to another in a certain way. For given processes X and Y the space U of all such functions H, called the duality space of X and Y, is studied in this paper. The algebraic structure of U is closely related to the eigenvalues and eigenvectors of the transition matrices of X and Y. Often as for example in physics (interacting particle systems) and in biology (population genetics models) dual processes arise naturally by looking forwards and backwards in time. In particular, time-reversible Markov processes are self-dual. In this paper, results on the duality space are presented f…

Statistics and ProbabilityParticle systemPure mathematicsAlgebraic structurePopulation sizeMarkov processDuality (optimization)Space (mathematics)Dual (category theory)Combinatoricssymbols.namesakesymbolsQuantitative Biology::Populations and EvolutionEigenvalues and eigenvectorsMathematicsBernoulli
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Generalized Heisenberg algebra and (non linear) pseudo-bosons

2018

We propose a deformed version of the generalized Heisenberg algebra by using techniques borrowed from the theory of pseudo-bosons. In particular, this analysis is relevant when non self-adjoint Hamiltonians are needed to describe a given physical system. We also discuss relations with nonlinear pseudo-bosons. Several examples are discussed.

Statistics and ProbabilityPhysical systemGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesbiorthogonal bases in quantum mechanicPhysics and Astronomy (all)0103 physical sciencesMathematical PhysicAlgebra over a field010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsComputingMilieux_MISCELLANEOUSMathematicsBoson[PHYS]Physics [physics]Quantum Physics010308 nuclear & particles physicsStatistical and Nonlinear PhysicsMathematical Physics (math-ph)pseudo-bosonAlgebraNonlinear systemModeling and Simulationgeneralized Heisenberg algebraQuantum Physics (quant-ph)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Statistical and Nonlinear Physic
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A dynamical approach to compatible and incompatible questions

2019

We propose a natural strategy to deal with compatible and incompatible binary questions, and with their time evolution. The strategy is based on the simplest, non-commutative, Hilbert space $\mathcal{H}=\mathbb{C}^2$, and on the (commuting or not) operators on it. As in ordinary Quantum Mechanics, the dynamics is driven by a suitable operator, the Hamiltonian of the system. We discuss a rather general situation, and analyse the resulting dynamics if the Hamiltonian is a simple Hermitian matrix.

Statistics and ProbabilityPhysics - Physics and SocietyQuantum PhysicsCompatible and incompatible questionComputer scienceQuantum dynamicsQuantum dynamicTime evolutionHilbert spaceFOS: Physical sciencesBinary numberProbability and statisticsPhysics and Society (physics.soc-ph)Condensed Matter PhysicsHermitian matrixAlgebrasymbols.namesakeOperator (computer programming)symbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Decision makingSettore MAT/07 - Fisica Matematica
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On the empirical spectral distribution for certain models related to sample covariance matrices with different correlations

2021

Given [Formula: see text], we study two classes of large random matrices of the form [Formula: see text] where for every [Formula: see text], [Formula: see text] are iid copies of a random variable [Formula: see text], [Formula: see text], [Formula: see text] are two (not necessarily independent) sets of independent random vectors having different covariance matrices and generating well concentrated bilinear forms. We consider two main asymptotic regimes as [Formula: see text]: a standard one, where [Formula: see text], and a slightly modified one, where [Formula: see text] and [Formula: see text] while [Formula: see text] for some [Formula: see text]. Assuming that vectors [Formula: see t…

Statistics and ProbabilityPhysicsAlgebra and Number TheorySpectral power distributionComputer Science::Information RetrievalProbability (math.PR)Astrophysics::Instrumentation and Methods for AstrophysicsBlock (permutation group theory)Marchenko–Pastur lawComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Bilinear form60F05 60B20 47N30Sample mean and sample covarianceCombinatoricsConvergence of random variablesFOS: Mathematicssample covariance matricesComputer Science::General LiteratureDiscrete Mathematics and CombinatoricsRandom matriceshigh dimensional statisticsStatistics Probability and UncertaintyRandom matrixRandom variableMathematics - ProbabilityRandom Matrices: Theory and Applications
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