Search results for " Bayesian"

showing 10 items of 124 documents

Comparing Different approaches - Data mining, Geostatistic, and Deterministic pedology - to assess the Frequency of WRB reference soil groups in the …

2014

Estimating frequency of soil classes in map unit is always affected by some degree of uncertainty, especially at small scales, with a larger generalization. The aim of this study was to compare different possible approaches - data mining, geostatistic, deterministic pedology - to assess the frequency of WRB Reference Soil Groups (RSG) in the major Italian soil regions. In the soil map of Italy (Costantini et al., 2012), a list of the first five RSG was reported in each major 10 soil regions. The soil map was produced using the national soil geodatabase, which stored 22,015 analyzed and classified pedons, 1,413 soil typological unit (STU) and a set of auxiliary variables (lithology, land-use…

learning machine non-linear kriging soil type classification ItalySettore AGR/14 - PedologiaLearning machine deterministic data mining Bayesian predictivitySoil classification Italy
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Bayesian causal mediation analysis through linear mixed-effect models

2022

In mediational settings, the main focus is on the estimation of the indirect effect of an exposure on an outcome through a third variable called mediator. The traditional maximum likelihood estimation method presents several problems in the estimation of the standard error and the confidence interval of the indirect effect. In this paper, we propose a Bayesian approach to obtain the posterior distribution of the indirect effect through MCMC, in the context of mediational mixed models for longitudinal data. A simulation study shows that our method outperforms the traditional maximum likelihood approach in terms of bias and coverage rates.

longitudinal mediation analysis mixed effect models Bayesian methods causal inferenceSettore SECS-S/01 - Statistica
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Neighborhood Characteristics, Alcohol Outlet Density, and Alcohol-Related Calls-for-Service: A Spatiotemporal Analysis in a Wet Drinking Country

2017

Alcohol outlets have been associated with different social problems, such as crime, violence, intimate partner violence, and child maltreatment. The spatial analysis of neighborhood availability of alcohol outlets is key for better understanding of these influences. Most studies on the spatial distribution of alcohol outlets in the community have been conducted in U.S. cities, but few studies have assessed this spatial distribution in other countries where the drinking culture may differ. The aim of this study was to analyze the spatiotemporal distribution of alcohol outlets in the city of Valencia, Spain, and its relationship with neighborhood-level characteristics, as well as to examine t…

media_common.quotation_subjectGeography Planning and DevelopmentImmigrationlcsh:G1-922030508 substance abuseDistribution (economics)alcohol outlets; neighborhood-level characteristics; spatiotemporal analysis; Bayesian modeling approach; calls-for-serviceBayesian modeling approachSocial issuesUnit (housing)03 medical and health sciences0302 clinical medicineEnvironmental healthEarth and Planetary Sciences (miscellaneous)spatiotemporal analysis030212 general & internal medicineComputers in Earth SciencesSocioeconomic statusmedia_commonalcohol outletsbusiness.industryneighborhood-level characteristics1. No povertyRegression analysisDrinking culture16. Peace & justiceGeographycalls-for-serviceDomestic violence0305 other medical sciencebusinesslcsh:Geography (General)ISPRS International Journal of Geo-Information; Volume 6; Issue 12; Pages: 380
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Insights into the derivative-based method for nonlinear mediation models

2022

Associational mediation analysis has generally relied on the linearity of models to estimate the indirect effect as a product of regression coefficients. Very few examples of generalisations to nonlinear settings have been proposed, including a derivative-based method that, however, is far from being widely spread among scholars. In this paper, we clarify some aspects of such an approach to nonlinear mediation models, which have not been addressed by the previous literature. In addition, we run a simulation study to compare confidence intervals for the indirect effect obtained through different approaches.

mediation analysis derivative method generalised linear models bootstrap Monte Carlo method Bayesian statisticsSettore SECS-S/01 - Statistica
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Data from: Extinction and recolonization of maritime Antarctica in the limpet Nacella concinna (Strebel, 1908) during the last glacial cycle: toward …

2013

Quaternary glaciations in Antarctica drastically modified geographical ranges and population sizes of marine benthic invertebrates and thus affected the amount and distribution of intraspecific genetic variation. Here, we present new genetic information in the Antarctic limpet Nacella concinna, a dominant Antarctic benthic species along shallow ice-free rocky ecosystems. We examined the patterns of genetic diversity and structure in this broadcast spawner along maritime Antarctica and from the peri-Antarctic island of South Georgia. Genetic analyses showed that N. concinna represents a single panmictic unit in maritime Antarctic. Low levels of genetic diversity characterized this population…

medicine and health careHoloceneNacella concinnaApproximate Bayesian ComputationsfungiLife SciencesMedicineglacial refugiaprivate haplotypegeographic locations
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A Multivariate Age-Structured Stochastic Model with Immunization Strategies to Describe Bronchiolitis Dynamics

2021

Bronchiolitis has a high morbidity in children under 2 years old. Respiratory syncytial virus (RSV) is the most common pathogen causing the disease. At present, there is only a costly humanized monoclonal RSV-specific antibody to prevent RSV. However, different immunization strategies are being developed. Hence, evaluation and comparison of their impact is important for policymakers. The analysis of the disease with a Bayesian stochastic compartmental model provided an improved and more natural description of its dynamics. However, the consideration of different age groups is still needed, since disease transmission greatly varies with age. In this work, we propose a multivariate age-struct…

medicine.medical_specialtyMultivariate statisticsStochastic modellingstochastic Bayesian modelHealth Toxicology and Mutagenesisrespiratory syncytial virusBayesian probabilityDiseaseRespiratory Syncytial Virus InfectionsPoisson distributioninfectious diseasesArticle03 medical and health sciencessymbols.namesakemultivariate age-structured model0302 clinical medicine030225 pediatricsMedicineHumans030212 general & internal medicineIntensive care medicineChildAge structuredimmunization programsbusiness.industryPublic Health Environmental and Occupational HealthInfant NewbornRInfantBayes TheoremImmunization (finance)medicine.diseaseRespiratory Syncytial VirusesBronchiolitisChild PreschoolsymbolsMedicineImmunizationbronchiolitisbusinessInternational Journal of Environmental Research and Public Health
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Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome

2020

A better understanding of the connection between risk factors associated with pain and function may assist therapists in optimizing therapeutic programs. This study applied mathematical modeling to analyze the relationship of psychological, psychophysical, and motor variables with pain, function, and symptom severity using Bayesian linear regressions (BLR) and self-organizing maps (SOMs) in carpal tunnel syndrome (CTS). The novelty of this work was a transfer of the symmetry mathematical background to a neuropathic pain condition, whose symptoms can be either unilateral or bilateral. Duration of symptoms, pain intensity, function, symptom severity, depressive levels, pinch tip grip force, a…

medicine.medical_specialtyPhysics and Astronomy (miscellaneous)General Mathematicscarpal tunnel syndromeself-organizing maps03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationLinear regressionComputer Science (miscellaneous)MedicineCarpal tunnel030212 general & internal medicineCarpal tunnel syndromeRadial nervebusiness.industrylcsh:Mathematicsmathematical modelingmedicine.diseaselcsh:QA1-939Median nerveIntensity (physics)medicine.anatomical_structurePsicologiaEstadística bayesianaChemistry (miscellaneous)Neuropathic painbusinessBayesian linear regressionBayesian linear regression030217 neurology & neurosurgerySymmetry
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The new criteria for classification of rheumatoid arthritis: what we need to know for clinical practice.

2011

The new criteria for classification of Rheumatoid Arthritis have been recently released. They incorporate the anti-Citrullinated Protein antibody testing and the other classic criteria in a score system (the diagnosis of definite rheumatoid arthritis is made by a total score ≥6). These criteria try to meet the pressing needs to gain sensitivity in early disease. Symptoms, elevated acute-phase response, serologic abnormality, joint involvement were all considered for scoring after confirming the presence of synovitis in at least 1 joint in the absence of an alternative diagnosis that better explains the synovitis. However, no sensitivity and specificity has been showed. Moreover, Area Under …

medicine.medical_specialtySettore MED/09 - Medicina InternaArthritisDiseasePeptides CyclicSensitivity and SpecificityArthritis RheumatoidRheumatologyInternal medicineSynovitisInternal MedicineMedicineHumansIntensive care medicineAutoantibodiesReceiver operating characteristicbusiness.industryAutoantibodymedicine.diseaseSettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheRheumatoid arthritis Classification criteria Anti-citrullinated peptide autoantibodies Bayesian reasoning Likelihood ratio Sensitivity and specificityRheumatologySettore MED/16 - ReumatologiaRheumatoid arthritisPhysical therapyAbnormalitybusinessBiomarkersEuropean journal of internal medicine
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Modelo de conglomerados para el análisis bayesiano de datos epidemiológicos en áreas pequeñas

2016

Uno de los principales objetivos del mapeo de la enfermedad es describir la variación espacial del riesgo de una enfermedad, para evaluar y cuantificar la cantidad de la verdadera heterogeneidad espacial y los patrones de riesgos asociados (Lawson, 2009). La mayoría de los modelos propuestos en la literatura proporcionan riesgos relativos estimados en áreas pequeñas teniendo en cuenta la estructura de vecindad, por lo que las áreas vecinas tienen riesgos similares, uno de los modelos más populares es el modelo de convolución (Besag et al., 1991). Sin embargo, hay situaciones en que esta suposición puede no ser apropiada. Estudios recientes en este ámbito son capaces de explorar con precisió…

modelos de mixturasmapeo de enfermedadesestimación del riesgo relativomodelos jerárquicos bayesianosdetección de conglomerados
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Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog

2021

Abbott, R., et al. (LIGO and Virgo Collaboration)

neutron star: binary010504 meteorology & atmospheric sciencesAstronomyAstrophysicsspin01 natural sciencesGeneral Relativity and Quantum Cosmologymass spectrumMassive starsAGN DISCSLIGO010303 astronomy & astrophysicsQCFocus on Gravitational-wave Astrophysics from the Second LIGO-Virgo Transient CatalogQBSettore FIS/01High Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicseducation.field_of_studyMass distributionSettore FIS/05Astrophysical black holesStellar mass black holesBINARY MERGERSJustice and Strong InstitutionsCompact Binary Populations Gravitational Waves GW Transient Cataloggravitational wavesAStrophysical black holesPhysical Sciences[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - High Energy Astrophysical PhenomenaYOUNG STAR-CLUSTERSEFFECTIVE SPIN DISTRIBUTIONmass: asymmetryBLACK-HOLE MERGERSSDG 16 - PeaceexceptionalNEUTRON-STARSgr-qcPopulationFOS: Physical sciencesgapContext (language use)General Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsPUBLIC ADVANCED LIGOGravitational waves; Astrophysical black holes; Stellar mass black holes; Massive stars; Compact objects; Bayesian statisticsAstronomy & AstrophysicsBayesian statisticsangular momentumGravitational wavesSettore FIS/05 - Astronomia e Astrofisicaprecession0103 physical sciencesstructureeducationcaptureCompact objectsAstrophysics::Galaxy AstrophysicsSTFC0105 earth and related environmental sciencesMASS-DISTRIBUTIONBLACK-HOLE MERGERS; YOUNG STAR-CLUSTERS;EFFECTIVE SPIN DISTRIBUTIONHIERARCHICAL MERGERSScience & TechnologyStar formationGravitational waveSDG 16 - Peace Justice and Strong Institutionsgravitational radiationRCUKAstronomy and Astrophysicsredshiftbinary: compact/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsDewey Decimal Classification::500 | Naturwissenschaften::520 | Astronomie KartographieLIGORedshiftNeutron starVIRGOblack hole: binaryGravitational Waves Compact Binaries[SDU]Sciences of the Universe [physics]Space and Planetary Scienceddc:520[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Compact BinariesDYNAMICAL FORMATION
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