Search results for " Opera"

showing 10 items of 3606 documents

Statistics of nonlinear stochastic dynamical systems under Lévy noises by a convolution quadrature approach

2010

This paper describes a novel numerical approach to find the statistics of the non-stationary response of scalar non-linear systems excited by L\'evy white noises. The proposed numerical procedure relies on the introduction of an integral transform of Wiener-Hopf type into the equation governing the characteristic function. Once this equation is rewritten as partial integro-differential equation, it is then solved by applying the method of convolution quadrature originally proposed by Lubich, here extended to deal with this particular integral transform. The proposed approach is relevant for two reasons: 1) Statistics of systems with several different drift terms can be handled in an efficie…

Statistics and Probability65R10 65D32 60H15 65C30PACS: 02.50.FzPartial differential equationDynamical systems theoryGeneral Physics and AstronomyStatistical and Nonlinear Physics05.45.-aWhite noise02.30.UuIntegral transformDifferential operatorFractional calculusQuadrature (mathematics)Nonlinear systemModeling and SimulationStatisticsSettore ICAR/08 - Scienza Delle CostruzioniCondensed Matter - Statistical MechanicsMathematical PhysicsMathematics
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Using mathematical morphology for unsupervised classification of functional data

2011

This paper is concerned with the unsupervised classification of functional data by using mathematical morphology. Different morphological operators are used to extract relevant structures of the functions (considered as sets through their subgraph representations). These operators can be considered as preprocessing tools whose outputs are also functional data. We explore some dissimilarity measures and clustering methods for the classification of the transformed data. Our approach is illustrated through a detailed analysis of two data sets. These techniques, which have mainly been used in image processing, provide a flexible and robust toolbox for improving the results in unsupervised funct…

Statistics and ProbabilityApplied MathematicsData classificationImage processingMathematical morphologycomputer.software_genreToolboxComputingMethodologies_PATTERNRECOGNITIONModeling and SimulationPreprocessorData miningStatistics Probability and UncertaintyCluster analysisMorphological operatorscomputerMathematicsJournal of Statistical Computation and Simulation
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Expert-based versus citation-based ranking of scholarly and scientific publication channels

2016

Abstract The Finnish publication channel quality ranking system was established in 2010. The system is expert-based, where separate panels decide and update the rankings of a set of publications channels allocated to them. The aggregated rankings have a notable role in the allocation of public resources into universities. The purpose of this article is to analyze this national ranking system. The analysis is mainly based on two publicly available databases containing the publication source information and the actual national publication activity information. Using citation-based indicators and other available information with association rule mining, decision trees, and confusion matrices, …

Statistics and ProbabilityAssociation rule learningPerformance-based fundingComputer sciencemedia_common.quotation_subjectDecision treeScopusManagement Science and Operations ResearchLibrary and Information Sciences050905 science studiesModelling and SimulationScopusQuality (business)Reference modelmedia_commonta113Information retrievalApplied Mathematics05 social sciencesRank (computer programming)Journal citation reportsData scienceComputer Science ApplicationsRankingFinnish ranking system0509 other social sciences050904 information & library sciencesCitationJournal evaluationJournal of Informetrics
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A model-based approach to Spotify data analysis: a Beta GLMM

2020

Digital music distribution is increasingly powered by automated mechanisms that continuously capture, sort and analyze large amounts of Web-based data. This paper deals with the management of songs audio features from a statistical point of view. In particular, it explores the data catching mechanisms enabled by Spotify Web API and suggests statistical tools for the analysis of these data. Special attention is devoted to songs popularity and a Beta model, including random effects, is proposed in order to give the first answer to questions like: which are the determinants of popularity? The identification of a model able to describe this relationship, the determination within the set of char…

Statistics and ProbabilityBeta GLMMDistribution (number theory)Computer scienceApplication Notes0211 other engineering and technologies02 engineering and technologycomputer.software_genreWeb API01 natural sciencesSet (abstract data type)010104 statistics & probabilitySpotify Web API audio features Popularity Index Beta GLMMsortSpotify Web API0101 mathematicsDigital audio021103 operations researchPoint (typography)Random effects modelData sciencePopularityIdentification (information)Popularity IndexData miningStatistics Probability and Uncertaintycomputeraudio feature
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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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Properties of Design-Based Functional Principal Components Analysis.

2010

This work aims at performing Functional Principal Components Analysis (FPCA) with Horvitz-Thompson estimators when the observations are curves collected with survey sampling techniques. One important motivation for this study is that FPCA is a dimension reduction tool which is the first step to develop model assisted approaches that can take auxiliary information into account. FPCA relies on the estimation of the eigenelements of the covariance operator which can be seen as nonlinear functionals. Adapting to our functional context the linearization technique based on the influence function developed by Deville (1999), we prove that these estimators are asymptotically design unbiased and con…

Statistics and ProbabilityContext (language use)Mathematics - Statistics TheoryStatistics Theory (math.ST)Perturbation theory01 natural sciencesVariance estimationHorvitz–Thompson estimatorSurvey sampling010104 statistics & probabilityLinearization[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]0502 economics and businessStatisticsConsistent estimatorFOS: Mathematicsvon Mises expansionApplied mathematicsHorvitz-Thompson estimator[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicsComputingMilieux_MISCELLANEOUS050205 econometrics MathematicsEigenfunctionsInfluence functionApplied Mathematics05 social sciencesMathematical statisticsEstimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Covariance operatorCovariance16. Peace & justice[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Delta methodModel-assisted estimationStatistics Probability and Uncertainty
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A multi-local optimization algorithm

1998

The development of efficient algorithms that provide all the local minima of a function is crucial to solve certain subproblems in many optimization methods. A “multi-local” optimization procedure using inexact line searches is presented, and numerical experiments are also reported. An application of the method to a semi-infinite programming procedure is included.

Statistics and ProbabilityContinuous optimizationMathematical optimizationInformation Systems and ManagementMeta-optimizationManagement Science and Operations ResearchSemi-infinite programmingMaxima and minimaVector optimizationModeling and SimulationDiscrete Mathematics and CombinatoricsRandom optimizationMulti-swarm optimizationAlgorithmMetaheuristicMathematicsTop
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The Serial Property and Restricted Balanced Contributions in discrete cost sharing problems

2006

We show that the Serial Poperty and Restricted Balanced Contributions characterize the subsidy-free serial cost sharing method (Moulin (1995)) in discrete cost allocation problems.

Statistics and ProbabilityCost allocationMathematical optimizationInformation Systems and ManagementProperty (philosophy)Computer scienceModeling and SimulationMoulinDiscrete Mathematics and CombinatoricsCost sharingManagement Science and Operations ResearchShapley valueTOP
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Hores: A timetabling system for Spanish secondary schools

1995

Constructing a timetable is a difficult problem faced by every school every year. A feasible solution has to satisfy many different requirements and constraints. A good solution has to provide compact timetables for classes and teachers. In order to help the schools, we have developed HORES, a robust and flexible timetabling system suited to the needs of Spanish secondary schools. HORES runs on a PC and is fast and user-friendly. It may handle virtually every condition required by the schools and obtains good quality solutions in very short computing times. It also allows the user to modify interactively the solutions. HORES is now being used by schools with satisfactory results.

Statistics and ProbabilityDifficult problemMathematical optimizationInformation Systems and ManagementOperations researchComputer sciencemedia_common.quotation_subjectManagement Science and Operations ResearchTabu searchOrder (business)Modeling and SimulationDiscrete Mathematics and CombinatoricsQuality (business)media_commonTop
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Searching for a strong double tracing in a graph

1998

Given a connected graph G, we present a polynomial algorithm which either finds a tour traversing each edge of G exactly two non-consecutive times, one in each direction, or decides that no such tour exists. The main idea of this algorithm is based on the modification of a proof given by Thomassen related to a problem proposed by Ore in 1951.

Statistics and ProbabilityDiscrete mathematicsInformation Systems and ManagementVoltage graphDirected graphManagement Science and Operations ResearchButterfly graphlaw.inventionCombinatoricslawGraph powerModeling and SimulationLine graphString graphDiscrete Mathematics and CombinatoricsNull graphGraph factorizationMathematicsofComputing_DISCRETEMATHEMATICSMathematicsTop
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