Search results for "normalization"

showing 10 items of 632 documents

Book Review: A Foucauldian Interpretation of Modern Law: From Sovereignty to Normalization and Beyond

2019

Sociology and Political ScienceSovereigntyPhilosophyGeneral Social SciencesNormalization (sociology)LawEpistemologySocial & Legal Studies
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Random walks in dynamic random environments and ancestry under local population regulation

2015

We consider random walks in dynamic random environments, with an environment generated by the time-reversal of a Markov process from the oriented percolation universality class. If the influence of the random medium on the walk is small in space-time regions where the medium is typical, we obtain a law of large numbers and an averaged central limit theorem for the walk via a regeneration construction under suitable coarse-graining. Such random walks occur naturally as spatial embeddings of ancestral lineages in spatial population models with local regulation. We verify that our assumptions hold for logistic branching random walks when the population density is sufficiently high.

Statistics and Probability82B43Markov processRandom walklogistic branching random walk01 natural sciences60K37 60J10 60K35 82B43010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityFOS: MathematicsLocal populationStatistical physics0101 mathematicsoriented percolationCentral limit theoremMathematicsdynamical random environmentProbability (math.PR)010102 general mathematicsRandom mediaRenormalization groupsupercritical clusterRandom walk60K37Population model60K35central limit theorem in random environmentPercolationsymbols60J10Statistics Probability and UncertaintyMathematics - ProbabilityElectronic Journal of Probability
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The conditional censored graphical lasso estimator

2020

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. In many applied fields, such as genomics, different types of data are collected on the same system, and it is not uncommon that some of these datasets are subject to censoring as a result of the measurement technologies used, such as data generated by polymerase chain reactions and flow cytometer. When the overall objective is that of network inference, at possibly different levels of a system, information coming from different sources and/or different steps of the analysis can be integrated into one model with the use of conditional graphical models. In this paper, we develop a doubly penalized inferential procedure for…

Statistics and ProbabilityFOS: Computer and information sciencesComputer scienceGaussianInferenceData typeTheoretical Computer Sciencehigh-dimensional settingDatabase normalizationMethodology (stat.ME)symbols.namesakeLasso (statistics)Graphical modelConditional Gaussian graphical modelcensored graphical lassoStatistics - MethodologyHigh-dimensional settingconditional Gaussian graphical modelssparsityEstimatorCensoring (statistics)Censored graphical lassoComputational Theory and MathematicssymbolsCensored dataStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaSparsityAlgorithm
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Quantum averaging for driven systems with resonances

2000

Abstract We discuss the effects of resonances in driven quantum systems within the context of quantum averaging techniques in the Floquet representation. We consider in particular iterative methods of KAM type and the extensions needed to take into account resonances. The approach consists in separating the coupling terms into resonant and nonresonant components at a given scale of time and intensity. The nonresonant part can be treated with perturbative techniques, which we formulate in terms of KAM-type unitary transformations that are close to the identity. These can be interpreted as averaging procedures with respect to the dynamics defined by effective uncoupled Hamiltonians. The reson…

Statistics and ProbabilityFloquet theoryIterative methodCondensed Matter PhysicsUnitary statePerturbation expansionRenormalizationsymbols.namesakeClassical mechanicsQuantum mechanicssymbolsHamiltonian (quantum mechanics)QuantumMathematicsPhysica A: Statistical Mechanics and its Applications
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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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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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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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Is there a cost at encoding words with joined letters during visual word recognition?

2018

Abstract For simplicity, models of visual-word recognition have focused on printed words composed of separated letters, thus overlooking the processing of cursive words. Manso de Zuniga, Humphreys, and Evett (1991) claimed that there is an early “cursive normalization” encoding stage when processing written words with joined letters. To test this claim, we conducted a lexical decision experiment in which words were presented either with separated or joined letters. To examine if the cost of letter segmentation occurs early in processing, we also manipulated a factor (i.e., word-frequency) that is posited to affect subsequent lexical processing. Results showed faster response times for the w…

Statistics and ProbabilityVisual word recognitionbusiness.industryComputer science05 social sciencesNormalization (image processing)Experimental and Cognitive Psychologycomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicineArts and Humanities (miscellaneous)Developmental and Educational PsychologyLexical decision task0501 psychology and cognitive sciencesPsychology (miscellaneous)Artificial intelligencebusinesscomputerCursive030217 neurology & neurosurgeryNatural language processingProgrames d'ordinadorLlenguatge i llengüesPsicológica Journal
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