Search results for "Mali"

showing 10 items of 3900 documents

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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Hybrid recommendation methods in complex networks

2015

We propose here two new recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three relevant data sets, and we compare their performance with several recommendation systems recently proposed in the literature. We show that the proposed similarity measures allow to attain an improvement of performances of up to 20\% with respect to existing non-parametric methods, and that the accuracy of a recommendation can vary widely from one specific bipartite network to another, which suggests that a …

Statistics and ProbabilityNormalization (statistics)Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceNonparametric statisticsFOS: Physical sciencesComputer Science - Social and Information NetworksCondensed Matter PhysicPhysics and Society (physics.soc-ph)Complex networkRecommender systemcomputer.software_genreComputer Science - Information RetrievalBipartite graphConvex combinationData miningNoisy datacomputerInformation Retrieval (cs.IR)Statistical and Nonlinear Physic
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Measure differential inclusions: existence results and minimum problems

2020

AbstractWe focus on a very general problem in the theory of dynamic systems, namely that of studying measure differential inclusions with varying measures. The multifunction on the right hand side has compact non-necessarily convex values in a real Euclidean space and satisfies bounded variation hypotheses with respect to the Pompeiu excess (and not to the Hausdorff-Pompeiu distance, as usually in literature). This is possible due to the use of interesting selection principles for excess bounded variation set-valued mappings. Conditions for the minimization of a generic functional with respect to a family of measures generated by equiregulated left-continuous, nondecreasing functions and to…

Statistics and ProbabilityNumerical AnalysisEuclidean spaceApplied MathematicsRegular polygonMeasure (mathematics)Differential inclusionSettore MAT/05 - Analisi MatematicaBounded variationTrajectoryApplied mathematicsGeometry and TopologyMinificationFocus (optics)Measure differential inclusion Bounded variation Pompeiu excess Selection Minimality conditionAnalysisMathematics
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Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores

1994

After some discussion of the purposes of testing multivariate normality, the paper concentrates on two different approaches to testing linearity: on repeated regression tests of non-linearity and on exploiting properties of a dichotomized normal distribution. Regression tests of linearity are used to examine the adequacy of linear scoring systems for explanatory variables, initially recorded on an ordinal scale. Examples from recent psychological and medical research are given in which the methods have led to some insight into subject-matter.

Statistics and ProbabilityOrdinal dataNormal distributionNormality testRegression testingOrdinal ScaleStatisticsEconometricsMultivariate normal distributionVariance (accounting)Statistics Probability and UncertaintyStatistical hypothesis testingMathematicsApplied Statistics
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Critical phenomena at surfaces

1990

Abstract The presence of free surfaces adds a rich and interesting complexity to critical phenomena associated with phase transitions occurring in bulk materials. We shall review Monte Carlo computer simulation studies of surface critical behavior in simple cubic Ising- and XY-models with nearest-neighbor interactions J in the bulk and Js at the surface. These studies allow the identification of various critical exponents and critical amplitude ratios involving both the critical behavior of local quantities and of surface excess corrections to the bulk. We consider both the “ordinary” transition (surface criticality controlled by the bulk) and the “special transition” (a multicritical point…

Statistics and ProbabilityPhase transitionCondensed matter physicsCritical point (thermodynamics)Critical phenomenaMulticritical pointIsing modelStatistical physicsRenormalization groupCondensed Matter PhysicsScalingCritical exponentMathematicsPhysica A: Statistical Mechanics and its Applications
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Fisher Renormalization for Logarithmic Corrections

2008

For continuous phase transitions characterized by power-law divergences, Fisher renormalization prescribes how to obtain the critical exponents for a system under constraint from their ideal counterparts. In statistical mechanics, such ideal behaviour at phase transitions is frequently modified by multiplicative logarithmic corrections. Here, Fisher renormalization for the exponents of these logarithms is developed in a general manner. As for the leading exponents, Fisher renormalization at the logarithmic level is seen to be involutory and the renormalized exponents obey the same scaling relations as their ideal analogs. The scheme is tested in lattice animals and the Yang-Lee problem at t…

Statistics and ProbabilityPhase transitionLogarithmStatistical Mechanics (cond-mat.stat-mech)Multiplicative functionFOS: Physical sciencesStatistical and Nonlinear PhysicsStatistical mechanicsRenormalizationIdeal (order theory)Statistics Probability and UncertaintyCritical exponentScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematics
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First results on applying a non-linear effect formalism to alliances between political parties and buy and sell dynamics

2016

We discuss a non linear extension of a model of alliances in politics, recently proposed by one of us. The model is constructed in terms of operators, describing the \emph{interest} of three parties to form, or not, some political alliance with the other parties. The time evolution of what we call \emph{the decision functions} is deduced by introducing a suitable hamiltonian, which describes the main effects of the interactions of the parties amongst themselves and with their \emph{environments}, {which are }generated by their electors and by people who still have no clear {idea }for which party to vote (or even if to vote). The hamiltonian contains some non-linear effects, which takes into…

Statistics and ProbabilityPhysics - Physics and SocietyFormal structureFOS: Physical sciencesPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmassymbols.namesakePolitics0103 physical sciencesQuantum models in macroscopic system010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsEconophysicsEconophysicMathematical Physics (math-ph)Condensed Matter PhysicsNonlinear systemFormalism (philosophy of mathematics)AlliancesymbolsDecision processHamiltonian (quantum mechanics)Mathematical economicsPhysica A: Statistical Mechanics and its Applications
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Phase Transitions in the Multicomponent Widom-Rowlinson Model and in Hard Cubes on the BCC--Lattice

1997

We use Monte Carlo techniques and analytical methods to study the phase diagram of the M--component Widom-Rowlinson model on the bcc-lattice: there are M species all with the same fugacity z and a nearest neighbor hard core exclusion between unlike particles. Simulations show that for M greater or equal 3 there is a ``crystal phase'' for z lying between z_c(M) and z_d(M) while for z > z_d(M) there are M demixed phases each consisting mostly of one species. For M=2 there is a direct second order transition from the gas phase to the demixed phase while for M greater or equal 3 the transition at z_d(M) appears to be first order putting it in the Potts model universality class. For M large, …

Statistics and ProbabilityPhysicsPhase transitionCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesRenormalization groupCondensed Matter Physicsk-nearest neighbors algorithmLattice (order)Ising modelFugacityCondensed Matter - Statistical MechanicsPhase diagramPotts model
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Monte Carlo investigations of phase transitions: status and perspectives

2000

Using the concept of finite-size scaling, Monte Carlo calculations of various models have become a very useful tool for the study of critical phenomena, with the system linear dimension as a variable. As an example, several recent studies of Ising models are discussed, as well as the extension to models of polymer mixtures and solutions. It is shown that using appropriate cluster algorithms, even the scaling functions describing the crossover from the Ising universality class to the mean-field behavior with increasing interaction range can be described. Additionally, the issue of finite-size scaling in Ising models above the marginal dimension (d*=4) is discussed.

Statistics and ProbabilityPhysicsPhase transitionStatistical Mechanics (cond-mat.stat-mech)Critical phenomenaMonte Carlo methodCrossoverFOS: Physical sciencesRenormalization groupCondensed Matter PhysicsDimension (vector space)Ising modelStatistical physicsScalingCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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Thermalization of Random Motion in Weakly Confining Potentials

2010

We show that in weakly confining conservative force fields, a subclass of diffusion-type (Smoluchowski) processes, admits a family of "heavy-tailed" non-Gaussian equilibrium probability density functions (pdfs), with none or a finite number of moments. These pdfs, in the standard Gibbs-Boltzmann form, can be also inferred directly from an extremum principle, set for Shannon entropy under a constraint that the mean value of the force potential has been a priori prescribed. That enforces the corresponding Lagrange multiplier to play the role of inverse temperature. Weak confining properties of the potentials are manifested in a thermodynamical peculiarity that thermal equilibria can be approa…

Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)Probability (math.PR)FOS: Physical sciencesStatistical and Nonlinear PhysicsProbability density functionMathematical Physics (math-ph)Interval (mathematics)symbols.namesakeThermalisationPhysics - Data Analysis Statistics and ProbabilityLagrange multiplierBounded functionFOS: MathematicssymbolsFinite setConservative forceCondensed Matter - Statistical MechanicsMathematics - ProbabilityData Analysis Statistics and Probability (physics.data-an)Mathematical PhysicsBrownian motionMathematical physicsOpen Systems & Information Dynamics
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