Search results for "Compartment model"

showing 4 items of 4 documents

El análisis cuantitativo de trayectorias laborales. Un estado del arte

2022

La metodología cuantitativa aplicada al estudio de las trayectorias laborales ha experimentado un rápido auge que se ha extendido más allá del tradicional análisis de secuencias. El presente artículo es un estado del arte del desarrollo de nuevas técnicas estadísticas que pueden aplicarse o ya se aplican al estudio de trayectorias laborales. Además, incluimos sugerencias de software estadístico para la aplicación de cada una de las técnicas descritas. A lo largo de todo el texto, podrá observarse que la descripción de cada técnica se ha realizado desde un punto de vista conceptual, con el objetivo de llegar a un público amplio, que no necesite poseer una fuerte formación estadística. Es med…

Anàlisi de seqüènciesMètodes estadísticsTrajectòries laboralsStatistical methodsSociology and Political ScienceSequence analysisMarkov modelsModelos de MarkovCareer pathsModels de compartimentsCompartment modelsMétodos estadísticosEstadística Mètodes gràficsMobilitat laboralModelos compartimentalesModels de MarkovAnálisis de secuenciasTrayectorias laboralesSocial Sciences (miscellaneous)Papers. Revista de Sociologia
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Conditional particle filters with diffuse initial distributions

2020

Conditional particle filters (CPFs) are powerful smoothing algorithms for general nonlinear/non-Gaussian hidden Markov models. However, CPFs can be inefficient or difficult to apply with diffuse initial distributions, which are common in statistical applications. We propose a simple but generally applicable auxiliary variable method, which can be used together with the CPF in order to perform efficient inference with diffuse initial distributions. The method only requires simulatable Markov transitions that are reversible with respect to the initial distribution, which can be improper. We focus in particular on random-walk type transitions which are reversible with respect to a uniform init…

FOS: Computer and information sciencesStatistics and ProbabilityComputer scienceGaussianBayesian inferenceMarkovin ketjut02 engineering and technology01 natural sciencesStatistics - ComputationArticleTheoretical Computer ScienceMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlotilastotiede0202 electrical engineering electronic engineering information engineeringStatistical physics0101 mathematicsDiffuse initialisationHidden Markov modelComputation (stat.CO)Statistics - MethodologyState space modelHidden Markov modelbayesian inferenceMarkov chaindiffuse initialisationbayesilainen menetelmäconditional particle filtersmoothingmatemaattiset menetelmät020206 networking & telecommunicationsConditional particle filterCovariancecompartment modelRandom walkCompartment modelstate space modelComputational Theory and MathematicsAutoregressive modelsymbolsStatistics Probability and UncertaintyParticle filterSmoothingSmoothing
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Reliability of Parameter Estimation Methods Applied to the Identification of Biomedical Multicompartment Systems

1985

Abstract The reliability of parameter estimation in biomedical multicompartment models is influenced by the chosen mathematical representation of the model, by the sensitivity of the output on the relevant parameters to be identified and by the experimental conditions, e.g. choice of the data-set. this paper the reliability of different parameter estimation methods applied in a multi-compartment model of the circulatory system has been studied under the assumption that there exists a partially system output insensitivity against the compliance parameters. Suitable conditions for efficient parameter estimation have been found by simulation of sensitivity equations of the system, which is of …

Identification (information)Control theoryEstimation theorySensitivity equationComputer scienceControl systemControl engineeringSensitivity (control systems)Reliability (statistics)Multi-compartment modelIFAC Proceedings Volumes
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epiModel: A system to build automatically systems of differential equations of compartmental type-epidemiological models

2011

In this paper we describe epiModel, a code developed in Mathematica that facilitates the building of systems of differential equations corresponding to type-epidemiological linear or quadratic models whose characteristics are defined in text files following an easy syntax. It includes the possibility of obtaining the equations of models involving age and/or sex groups. © 2011.

Systems of differential equationsDifferential equationsTheoretical computer scienceBuilding codesDifferential equationComputer scienceAutomatic building of systems of differential equationsDisease transmissionMathematical parametersMathematicaHealth InformaticsText fileComputer programEpidemiological modelType (model theory)Models BiologicalModellingArticleDisease predispositionQuadratic equationMathematical modelComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONComputer SimulationQuadratic modelsPriority journalSyntax (programming languages)Computer programText fileConvalescenceComputer Science ApplicationsCompartment modelType-epidemiological modelProgramming LanguagesEpidemiologic MethodsMATEMATICA APLICADADisease transmissionHuman
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