Search results for "Cross-entropy"

showing 5 items of 5 documents

A new approach to modelling the input-output structure of regional economies using non-survey methods

2021

AbstractThis paper proposes a new approach to the regionalization of national input–output tables where suitable regional data are scarce and analysts are considering using location quotients (LQs). We focus on the FLQ formula, which frequently yields the best results of the pure LQ-based methods, and develop an enhanced way of implementing this approach. We use a modified cross-entropy (MCE) method, along with a regression model, to estimate values of the unknown parameter δ in the FLQ formula, specific to both region and country. An analysis of survey-based data for 16 South Korean regions reveals that the proposed FLQ+ approach yields more accurate estimates of both input coefficients an…

Economics and EconometricsComputer scienceEconomics Econometrics and Finance (miscellaneous)FLQ0211 other engineering and technologiesStructure (category theory)Economic growth development planning02 engineering and technologyRegional tablesSurvey methodologymenetelmätSectoral outputGRAS0502 economics and businessddc:330EconometricsCross-entropy050207 economicspanos-tuotosanalyysiHB71-74Input/output05 social sciences021107 urban & regional planningRegression analysisEconomics as a scienceHD72-88aluekehitysaluetalousFLQ+Focus (optics)arviointi
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Cross-entropy-based adaptive optimization of simulation parameters for Markovian-driven service systems

2005

Abstract Markov fluid models represent a general description of the process of service request arrivals to service systems. The solution of performance analysis problems incorporating them often calls for a simulation approach, for which a reference methodology is Importance Sampling. However, in this case the appropriate choice of the biasing conditions is a problem in itself. In this paper an iterative method based on the cross-entropy is proposed for this choice. The equations are given that allow to derive the biasing conditions from the simulation itself. The application of the proposed method to three different sample cases, referring to one transient scenario (finite time horizon and…

Mathematical optimizationImportance samplingMarkov chainIterative methodComputer scienceAdaptive optimizationSettore ING-INF/03 - TelecomunicazioniMarkov processSimulation techniquesCross-entropy; Importance sampling; Markov fluid models; Rare event simulation; Simulation techniquesMarkov fluid modelssymbols.namesakeRare event simulationCross entropyHardware and ArchitectureControl theoryModeling and SimulationPath (graph theory)symbolsTransient (computer programming)Cross-entropySoftwareImportance sampling
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Hybridizing the cross-entropy method: An application to the max-cut problem

2009

Cross-entropy has been recently proposed as a heuristic method for solving combinatorial optimization problems. We briefly review this methodology and then suggest a hybrid version with the goal of improving its performance. In the context of the well-known max-cut problem, we compare an implementation of the original cross-entropy method with our proposed version. The suggested changes are not particular to the max-cut problem and could be considered for future applications to other combinatorial optimization problems.

Mathematical optimizationOptimization problemGeneral Computer ScienceQuadratic assignment problemMaximum cutCross-entropy methodManagement Science and Operations ResearchCross entropyModeling and SimulationCombinatorial optimizationCombinatorial methodMetaheuristicAlgorithmMathematicsComputers & Operations Research
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La sopravvivenza immediata delle start-up italiane del settore manifatturiero sanitario: un'analisi multilevel

2017

The immediate survival of the Italian start-up businesses in healthcare industry: a multilevel analysis Objectives: The purpose of this contribution is to provide novel evidence about the main determinants of the short-run survival of pharmaceutical and medical device manufacturing start-up firms in Italy. In order to assess both the firm-specific determinants and the observed and unobserved regional and contextual characteristics, we model the three-year firm survival probability by means of a multilevel logistic framework. Methods and Results: The empirical analysis focuses on an internationally comparable database of the population of firms built up and managed by the Italian National In…

Medical devicedemografia d’impresa sopravvivenza delle imprese modellistica logit multi- level metodo dell’entropia relativa imprese start-upfirm demographyPopulationcross-entropy methodmetodo dell’entropia relativaLogistic regressionmultilevel logistic modellingstart-up firmsSurvival probabilityimprese start-upOrder (exchange)EconometricseducationProductivityGeneral Environmental ScienceEstimationeducation.field_of_studysopravvivenza delle impresefirm survivaldemografia d’impresaRandom effects modelStar-up Settore Sanitario Modelli Multilevel Italiamodellistica logit multi- levelfirm demography firm survival multilevel logistic modelling cross-entropy method start-up firmsSettore SECS-S/03 - Statistica EconomicaGeneral Earth and Planetary SciencesBusiness
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Pricing Schemes for Emerging Telecommunication Market

2012

Telecommunication Pricing Option Pricing Cross-EntropySettore ING-INF/03 - Telecomunicazioni
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