Search results for "Probability."

showing 10 items of 3396 documents

Computational aspects in checking of coherence and propagation of conditional probability bounds

2000

In this paper we consider the problem of reducing the computational difficulties in g-coherence checking and propagation of imprecise conditional probability assessments. We review some theoretical results related with the linear structure of the random gain in the betting criterion. Then, we propose a modi ed version of two existing algorithms, used for g-coherence checking and propagation, which are based on linear systems with a reduced number of unknowns. The reduction in the number of unknowns is obtained by an iterative algorithm. Finally, to illustrate our procedure we give some applications.

reduced sets of variables and constrainsCoherent probability assessments propagation random gain computation algorithmsSettore MAT/06 - Probabilita' E Statistica MatematicaChecking of coherencerandom gainpropagationChecking of coherence; computational aspects; propagation; linear systems; random gain; reduced sets of variables and constrainslinear systemscomputational aspects
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Algorithms for coherence checking and propagation of conditional probability bounds

2001

In this paper, we propose some algorithms for the checking of generalized coherence (g-coherence) and for the extension of imprecise conditional probability assessments. Our concept of g-coherence is a generalization of de Finetti’s coherence principle and is equivalent to the ”avoiding uniform loss” property for lower and upper probabilities (a la Walley). By our algorithms we can check the g-coherence of a given imprecise assessment and we can correct it in order to obtain the associated coherent assessment (in the sense of Walley and Williams). Exploiting some properties of the random gain we show how, in the linear systems involved in our algorithms, we can work with a reduced set of va…

reduced sets of variables and constraintsSettore MAT/06 - Probabilita' E Statistica MatematicaUncertain knowledgeUncertain knowledge probabilistic reasoning under coherence imprecise conditional probability assessments g-coherence checking g-coherent extension algorithms computational aspects reduced sets of variables reduced sets of linear constraints.g-coherent extensionimprecise conditional probability assessmentsg-coherence checkingUncertain knowledge; probabilistic reasoning under coherence; imprecise conditional probability assessments; g-coherence checking; g-coherent extension; algorithms.; computational aspects; reduced sets of variables and constraints.algorithmsprobabilistic reasoning under coherencecomputational aspects
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Riskien havainnollistamisohjelmisto RiskDemo

2018

RiskDemo on vapaasti käytettävä ohjelmistotyökalu, joka on tarkoitettu havainnollistamaan riskejä todennäköisyyslaskennan ja tilastotieteen näkökulmasta. Ohjelmalla voidaan havainnollistaa riskejä monenlaisten graafisten esitysten, taulukoiden ja riskilukujen avulla. Tällä hetkellä sillä voidaan havainnollistaa demografiaa, korko- ja osakesijoittamista sekä klassista vararikkoteoriaa. Tässä artikkelissa esitellään RiskDemo-ohjelmiston ominaisuudet ja opastetaan sen käyttämiseen riskien havainnollistamisessa. Lukija voi RiskDemon avulla tutustua moniin riskienhallinnan avainkäsitteisiin havainnollisessa ja konkreettisessa muodossa. peerReviewed

riskiteoriatodennäköisyyslaskentaTilastotiede - Statistics and probabilityRiskDemo -ohjelmistovisualisointitietokoneohjelmatriskienhallintariskit
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On overall sampling plan for small area estimation

2017

The time and budget restrictions in survey sampling can impose limits on the area sample sizes. This may reduce the possibility to obtain area-specific and population parameters estimates with adequate precision. Market research companies and institutes for producing official statistics face frequently this problem. Various models and methods for small area estimation (SAE) have been developed to solve this problem. The sample allocation must support the selected model and method to ensure efficient estimation and must be implemented in the design phase of the survey. The proposed allocation is developed by incorporating auxiliary information, a model, and an estimation method. The estimate…

sample allocationEconomics and Econometricsmodel selection05 social sciencesauxiliary informationEBLUP estimation01 natural sciencesManagement Information Systemslow sample size010104 statistics & probabilitySmall area estimation0502 economics and businessStatistics0101 mathematicsStatistics Probability and Uncertainty050205 econometrics Mathematics
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The Joint Distribution Criterion and the Distance Tests for Selective Probabilistic Causality

2010

A general definition and a criterion (a necessary and sufficient condition) are formulated for an arbitrary set of external factors to selectively influence a corresponding set of random entities (generalized random variables, with values in arbitrary observation spaces), jointly distributed at every treatment (a set of factor values containing precisely one value of each factor). The random entities are selectively influenced by the corresponding factors if and only if the following condition, called the joint distribution criterion, is satisfied : there is a jointly distributed set of random entities, one entity for every value of every factor, such that every subset of this set that corr…

selective influenceComputer scienceGeneralizationlcsh:BF1-990Value (computer science)systems of random variablescomputer.software_genre050105 experimental psychologyCausality (physics)Set (abstract data type)03 medical and health sciences0302 clinical medicineJoint probability distributionHypothesis and TheoryPsychology0501 psychology and cognitive sciencesstochastically unrelatedGeneral PsychologyDiscrete mathematics05 social sciencesProbabilistic logicexternal factorsstochastic dependencejoint distributionlcsh:PsychologyProbabilistic causalitySum of normally distributed random variablesData miningcomputerRandom variable030217 neurology & neurosurgeryFrontiers in Psychology
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Shape identification in inverse medium scattering problems with a single far-field pattern

2016

Consider time-harmonic acoustic scattering from a bounded penetrable obstacle $D\subset {\mathbb R}^N$ embedded in a homogeneous background medium. The index of refraction characterizing the material inside $D$ is supposed to be Holder continuous near the corners. If $D\subset {\mathbb R}^2$ is a convex polygon, we prove that its shape and location can be uniquely determined by the far-field pattern incited by a single incident wave at a fixed frequency. In dimensions $N \geq 3$, the uniqueness applies to penetrable scatterers of rectangular type with additional assumptions on the smoothness of the contrast. Our arguments are motivated by recent studies on the absence of nonscattering waven…

shape identificationInversenonscattering wavenumbersType (model theory)Convex polygon01 natural sciencesinverse medium scatteringMathematics - Analysis of PDEs78A46FOS: MathematicsWavenumberUniquenessHelmholtz equation0101 mathematicsMathematicsSmoothness (probability theory)ScatteringApplied Mathematics010102 general mathematicsMathematical analysista111uniqueness74B05010101 applied mathematicsComputational Mathematics35R30Bounded functionAnalysisAnalysis of PDEs (math.AP)SIAM Journal on Mathematical Analysis
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Corrigendum: ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density

2018

significance testinglcsh:BF1-990ex-Gaussian fitProbability density functionPython (programming language)pythonEx gaussianlcsh:Psychologyresponse componentsSignificance testingStatistical analysisPsychologyAlgorithmcomputerresponse timesGeneral Psychologycomputer.programming_languageFrontiers in Psychology
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Testing and implementing a new approach to estimating interregional output multipliers using input-output data for South Korean regions

2020

Flegg's location quotient (FLQ) is a useful tool for estimating intraregional output multipliers. This paper uses it as one component when estimating interregional multipliers. Using statistical information criteria and official data for 16 South Korean regions, it is found that the best approach is to combine the FLQ with a simple trade model. The paper explains how the proposed procedure can be implemented for both multiple and individual regions, and also how a region-specific value for the unknown parameter δ in the FLQ formula can be determined. Finally, an illustrative case study of one of the regions is carried out.

sijaintiMathematical optimizationalueelliset erotComputer scienceGeography Planning and Development0211 other engineering and technologiestalousmaantiedealuetutkimusInformation Criteria02 engineering and technologyEtelä-KoreaFlegg's location quotient (FLQ)Component (UML)0502 economics and businessinterregional multipliersEarth and Planetary Sciences (miscellaneous)Economic base analysisHardware_ARITHMETICANDLOGICSTRUCTURES050207 economicspanos-tuotosanalyysiinformation criteriaInput/outputgravity model05 social sciencestuloksellisuus021107 urban & regional planninganalyysimenetelmätGravity model of tradeStatistics Probability and UncertaintyGeneral Economics Econometrics and Finance
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Two‐sample problems in statistical data modelling

2010

A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions. The second approach allows to represent the two‐sample test graphically. This can be done by adding simultaneous confidence bands to the probability‐probability (P — P) or quantile‐quantile (Q — Q) plots. In this paper we compare empirically the accuracy of the classical two‐sample t‐test, empirical likelihood method and several bootstrap methods. For a real data example both Q — Q and P — P plots with simultaneous confidence bands have been plotted…

simultaneous bandsMathematical statisticstwo‐sample problemt‐testempirical likelihoodData modelingquantile‐quantile plotEmpirical likelihoodDistribution functionprobability‐probability plotModeling and SimulationStatisticsQA1-939Point (geometry)Two sampleQ–Q plotAnalysisMathematicsStatistical hypothesis testingMathematicsMathematical Modelling and Analysis
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Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

2018

We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure, based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with the current available methods. Moreover, the proposed method can be used in the case of both separable and non-separable parametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquake sequences comparing several Cox model specifications.

spatio-temporal pair correlation functionEnvironmental EngineeringGaussianminimum contrast methodnon-separable covariance function010502 geochemistry & geophysics01 natural sciencesPoint processGaussian random fieldSet (abstract data type)010104 statistics & probabilitysymbols.namesakeCorrelation functionEnvironmental Chemistry0101 mathematicsSafety Risk Reliability and Qualityearthquakes0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsMathematicslog-Gaussian Cox processesEstimation theoryContrast (statistics)symbolsEarthquakes Log-Gaussian Cox processes Minimum contrast method Non-separable covariance function Spatio-temporal pair correlation functionSettore SECS-S/01 - StatisticaAlgorithm
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