Search results for "Finite mixture"

showing 10 items of 11 documents

Finite Mixture Model-based classification of a complex vegetation system

2020

Aim: To propose a Finite Mixture Model (FMM) as an additional approach for classifying large datasets of georeferenced vegetation plots from complex vegetation systems. Study area: The Italian peninsula including the two main islands (Sicily and Sardinia), but excluding the Alps and the Po plain. Methods: We used a database of 5,593 georeferenced plots and 1,586 vascular species of forest vegetation, created in TURBOVEG by storing published and unpublished phytosociological plots collected over the last 30 years. The plots were classified according to species composition and environmental variables using a FMM. Classification results were compared with those obtained by TWINSPAN algorithm. …

0106 biological sciencesforest vegetationSoil scienceMixture model010603 evolutionary biology01 natural sciencescluster analysis finite mixture model forest vegetation Italian peninsula vegetation plotsEnvironmental sciencesvegetation plotscluster analysis finite mixture model forest vegetation Italian peninsula vegetation plotscluster analysis; finite mixture model; forest vegetation; Italian peninsula; vegetation plotsmedicineGE1-350finite mixture modelmedicine.symptomVegetation (pathology)Italian peninsulacluster analysis010606 plant biology & botanyMathematicsVegetation Classification and Survey
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The many faces of human sociality: uncovering the distribution and stability of social preferences

2018

There is vast heterogeneity in the human willingness to weigh others' interests in decision making. This heterogeneity concerns the motivational intricacies as well as the strength of other-regarding behaviors, and raises the question how one can parsimoniously model and characterize heterogeneity across several dimensions of social preferences while still being able to predict behavior over time and across situations. We tackle this task with an experiment and a structural model of preferences that allows us to simultaneously estimate outcome-based and reciprocity-based social preferences. We find that non-selfish preferences are the rule rather than the exception. Neither at the level of …

2000 General Economics Econometrics and Financeindividual behaviorVerhaltensökonomieSocial preferencesECON Department of EconomicsEntscheidungsfindung10007 Department of Economics0502 economics and businessC91EconomicsEconometricsHeterogenitätddc:330Social preferences; Heterogeneity; Stability; Finite mixture models050207 economicsSocial preferencesStrukturmodellPreference (economics)Sociality050205 econometrics finite mixture models05 social sciencesStochastic gameBehavioral microeconomics (underlying principles)Representative agentstabilityPräferenzReciprocity (evolution)Altruismus330 EconomicsPredictive powerD03C49heterogeneityGeneral Economics Econometrics and FinanceValue (mathematics)laboratory
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SMART: Unique splitting-while-merging framework for gene clustering

2014

© 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not require any a priori knowledge of either the number …

Clustering algorithmsMicroarrayslcsh:MedicineGene ExpressionBioinformaticscomputer.software_genreCell SignalingData MiningCluster Analysislcsh:ScienceFinite mixture modelOligonucleotide Array Sequence AnalysisPhysicsMultidisciplinarySMART frameworkConstrained clusteringCompetitive learning modelBioassays and Physiological AnalysisMultigene FamilyCanopy clustering algorithmEngineering and TechnologyData miningInformation TechnologyGenomic Signal ProcessingAlgorithmsResearch ArticleSignal TransductionComputer and Information SciencesFuzzy clusteringCorrelation clusteringResearch and Analysis MethodsClusteringMolecular GeneticsCURE data clustering algorithmGeneticsGene RegulationCluster analysista113Gene Expression Profilinglcsh:RBiology and Life SciencesComputational BiologyCell BiologyDetermining the number of clusters in a data setComputingMethodologies_PATTERNRECOGNITIONSplitting-merging awareness tactics (SMART)Signal ProcessingAffinity propagationlcsh:QGene expressionClustering frameworkcomputer
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Repetition times for Gibbsian sources

1999

In this paper we consider the class of stochastic stationary sources induced by one-dimensional Gibbs states, with Holder continuous potentials. We show that the time elapsed before the source repeats its first n symbols, when suitably renormalized, converges in law either to a log-normal distribution or to a finite mixture of exponential random variables. In the first case we also prove a large deviation result.

Finite mixtureClass (set theory)Repetition (rhetorical device)Applied MathematicsPROCESSOS ESTOCÁSTICOSGeneral Physics and AstronomyHölder conditionStatistical and Nonlinear PhysicsExponential functionDistribution (mathematics)CalculusStatistical physicsRandom variableMathematical PhysicsMathematics
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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review

2019

Background In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases. Methods The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA rec…

Health StatusHealth BehaviorTrajectoryphysical activityReviewliikuntaSex Factorssport participationHumansLongitudinal StudiesExerciseFinite mixture modelosallistuminenexercisePhysical activitylcsh:Public aspects of medicineRacial GroupsAge Factorslcsh:RA1-1270ProspectiveSocioeconomic FactorsLongitudinalRecreationfinite mixture modelfyysinen aktiivisuusResearch ArticleSport participationBMC Public Health
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Reporting heterogeneity in health: an extended latent class approach

2012

This article explores how individual socio-economic characteristics affect unobserved heterogeneity in self-reporting behaviour and health production using a multivariate finite mixture model. Results show a positive relationship between objective and subjective observable health indicators and true health and support the existence of self-reporting bias related to socio-economic characteristics and individual life styles.

Health productionEconomics and EconometricsMultivariate statisticsself-assessed health multivariate finite mixture model biomarkers self-reporting biasSettore SECS-P/03 - Scienza Delle FinanzeStatisticsEconometricsPositive relationshipAffect (psychology)PsychologyMixture modelHealth indicatorClass (biology)
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Evolution of the Global Distribution of Carbon Dioxide: A Finite Mixture Analysis

2015

Economists and environmental policymakers have recently begun advocating a bottom-up approach to climate change mitigation, focusing on reduction targets for groups of nations, rather than large scale global policies. We advance this discussion by taking a quantitative perspective, focusing on econometric identification of groups of countries that have statistically similar distributions of carbon emissions using a broad range of finite mixture models. Nearly all of our results yield a consistent pattern: after 1980, there are two distinct emissions distributions, and that these distributions continue to evolve over time. We provide a rigorous analysis of these distributional differences al…

MacroeconomicsEconomics and EconometricsFinite mixturePublic economicsjel:C30Carbon emissions; Emissions groups; Heterogeneity; Abatement policy; Finite mixture modelsCarbon emissionjel:C38Climate change mitigationGlobal distributionGreenhouse gasAbatement policyEconomicsHeterogeneityVolatility (finance)Settore SECS-P/01 - Economia PoliticaEmpirical evidenceEmissions groupFinite mixture model
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Incentive and Selection Effects of Medigap Insurance on Inpatient Care

2012

The Medicare program, which provides insurance coverage to the elderly in the United States, does not protect them fully against high out-of-pocket costs. For this reason private supplementary insurance, named Medigap, has been available to cover Medicare gaps. This paper studies how Medigap affects the utilization of inpatient care, separating the incentive and selection effects of supplementary insurance. For this purpose, we use two alternative estimation methods: a standard recursive bivariate probit and a discrete multivariate finite mixture model. We find that estimated incentive effects are modest and quite similar across models. On the other hand, there seems to be very significant …

MaleAsymmetric informationMedigap InsuranceMedicareMedigapHealth care demandMedigapHealth insuranceInformation asymmetryEconomicsHumansFinite mixture modelsSelection (genetic algorithm)AgedMotivationActuarial scienceModels StatisticalInpatient careHealth PolicyPublic Health Environmental and Occupational HealthInsurance MedigapUnited StatesHospitalizationIncentiveMedicare ProgramMultivariate AnalysisFemaleEstimation methods
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Effect of customer heterogeneity on the relationship satisfaction–loyalty

2014

Abstract The need to study the differences among consumers due to their behavioural heterogeneity and the highly competitive consumer markets is recognized. In this paper, we analyse the potential heterogeneous shopping assessment in retail and how that experience may influence on consequent customer loyalty in a different way. The effects of satisfaction on attitudinal and behavioural loyalty and positive word of mouth are estimated by a finite-mixture structural equation model, and unobserved heterogeneity is analysed simultaneously. The results show that there are three latent segments where the strength of causal relationships differs which mean that there is an overestimation of the im…

Relationship satisfactionBoca-orejaLealtadmedia_common.quotation_subjectRetailWord of mouthSatisfactionAdvertisingHeterogeneidad no observadaStructural equation modelingLoyalty business modelLoyaltyCustomer heterogeneityWord-of-mouthUnobserved heterogeneitySatisfacciónLoyaltyEconomicsGeneral Earth and Planetary SciencesFinite mixture structural equation modellingModelo de ecuaciones estructurales de mezclas finitasMarketingComercio minoristaGeneral Environmental Sciencemedia_commonRevista Española de Investigación en Marketing ESIC
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Risk Preference Heterogeneity and Multiple Demand for Insurance

2010

We examined the relationship between unobserved risk preferences and four insurance purchase decisions: health Medigap insurance, long-term insurance, life insurance and annuity. Standard economic theory assumes that individuals take decision over a set of risky domains according to their own risk preferences which are stable across decision contexts. This assumption of context-invariant risk preference has caused debate in the literature concerning its validity. Using data from the Health and Retirement Study, we exploit latent class analysis to identify conditional on predicted and realized risk how heterogeneity in risk preferences affects multiple insurance demand. Our results provide e…

Risk Preferences Multiple Demand for Insurance Finite Mixture Model Long-Term Care Insurance Medigap Annuity Life Insurance
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