Search results for "bayesian modeling"

showing 7 items of 7 documents

Stones, Bones, and Hillfort: Radiocarbon Dating of Ķivutkalns Bronze-Working Center

2013

The Bronze Age site of ķivutkalns with its massive amount of archaeological artifacts and human remains is considered the largest bronze-working center in Latvia. The site is a unique combination of cemetery and hillfort believed to be built on top of each other. This work presents new radiocarbon dates on human and animal bone collagen that somewhat challenge this interpretation. Based on analyses using a Bayesian modeling framework, the present data suggest overlapping calendar year distributions for the contexts within the 1st millennium BC. The carbon and nitrogen isotopic ratios indicate mainly terrestrial dietary habits of studied individuals and nuclear family remains buried in one o…

Bronze Age010506 paleontologyArcheologyHillfortengineering.material01 natural scienceslaw.inventionlawBronze AgeBone material0601 history and archaeologyRadiocarbon datingBronze:HUMANITIES and RELIGION::History and philosophy subjects::Archaeology subjects::Archaeology [Research Subject Categories]0105 earth and related environmental sciencesCemeterygeographyPlateaugeography.geographical_feature_category060102 archaeologyHill-fort06 humanities and the artsArchaeological artifactsArchaeologyRadiocarbonBayesian modelingengineeringGeneral Earth and Planetary SciencesAnimal boneGeologyRadiocarbon
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How Many Clocks, How Many Times? On the Sensory Basis and Computational Challenges of Circadian Systems

2018

A vital task for every organism is not only to decide what to do but also when to do it. For this reason, “circadian clocks” have evolved in virtually all forms of life. Conceptually, circadian clocks can be divided into two functional domains; an autonomous oscillator creates a ~24 h self-sustained rhythm and sensory machinery interprets external information to alter the phase of the autonomous oscillation. It is through this simple design that variations in external stimuli (for example, daylight) can alter our sense of time. However, the clock’s simplicity ends with its basic concept. In metazoan animals, multiple external and internal stimuli, from light to temperature and even metaboli…

Drosophila melanogastermultisensory integrationcircadian clockbiological oscillatorbayesian modelingsensory conflictlcsh:Neurosciences. Biological psychiatry. Neuropsychiatrylcsh:RC321-571Frontiers in Behavioral Neuroscience
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Relative risk estimation of dengue disease at small spatial scale

2017

Abstract Background Dengue is a high incidence arboviral disease in tropical countries around the world. Colombia is an endemic country due to the favourable environmental conditions for vector survival and spread. Dengue surveillance in Colombia is based in passive notification of cases, supporting monitoring, prediction, risk factor identification and intervention measures. Even though the surveillance network works adequately, disease mapping techniques currently developed and employed for many health problems are not widely applied. We select the Colombian city of Bucaramanga to apply Bayesian areal disease mapping models, testing the challenges and difficulties of the approach. Methods…

General Computer ScienceOperations research030231 tropical medicinePopulationGeographic MappingColombialcsh:Computer applications to medicine. Medical informaticsNormalized Difference Vegetation IndexDengue feverDengue03 medical and health sciencessymbols.namesake0302 clinical medicineCohen's kappaRisk FactorsStatisticsmedicineHumans030212 general & internal medicineSatellite imagesRisk factoreducationEstimationeducation.field_of_studyResearchPublic Health Environmental and Occupational HealthCohen’s KappaMarkov chain Monte CarloBayes Theoremmedicine.diseaseGeneral Business Management and AccountingBayesian modelingGeographyData qualitysymbolsDisease mappinglcsh:R858-859.7International Journal of Health Geographics
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Spatio-Temporal Analysis of Suicide-Related Emergency Calls

2017

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.

Injury controlAccident preventionComputer scienceHealth Toxicology and Mutagenesisdisease mappingPoison controllcsh:Medicinebayesian modelingBayesian inference01 natural sciencesSuicide preventionArticle010104 statistics & probability03 medical and health sciences0302 clinical medicineSpatio-Temporal AnalysismedicineHumans030212 general & internal medicine0101 mathematicspolice calls-for-serviceseasonalitySpatio-Temporal Analysislcsh:RPublic Health Environmental and Occupational HealthEmergency Medical Dispatchmedicine.diseasesocial epidemiologybayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiologySuicideAutoregressive modelMedical emergencySeasonsCartographyInternational Journal of Environmental Research and Public Health
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Five Ways in Which Computational Modeling Can Help Advance Cognitive Science

2019

Abstract There is a rich tradition of building computational models in cognitive science, but modeling, theoretical, and experimental research are not as tightly integrated as they could be. In this paper, we show that computational techniques—even simple ones that are straightforward to use—can greatly facilitate designing, implementing, and analyzing experiments, and generally help lift research to a new level. We focus on the domain of artificial grammar learning, and we give five concrete examples in this domain for (a) formalizing and clarifying theories, (b) generating stimuli, (c) visualization, (d) model selection, and (e) exploring the hypothesis space.

Linguistics and LanguageArtificial grammar learningComputer scienceCognitive Neuroscience[SHS.PSY]Humanities and Social Sciences/PsychologyExperimental and Cognitive PsychologyBayesian inferenceArtificial grammar learningArticle050105 experimental psychology03 medical and health sciences0302 clinical medicineArtificial IntelligenceHumans0501 psychology and cognitive sciencesCognitive scienceComputational modelPsycholinguisticsArtificial neural networkLift (data mining)Model selection05 social sciencesComputational modelingModels TheoreticalArtificial language learningFormal grammarsExperimental researchBayesian modelingVisualizationHuman-Computer InteractionCognitive ScienceNeural Networks ComputerForthcoming Topic: Learning Grammatical Structures: Developmental Cross‐species and Computational Approaches030217 neurology & neurosurgeryNeural networksTopics in Cognitive Science
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Spatio-Temporal Modeling of Zika and Dengue Infections within Colombia

2018

The aim of this study is to estimate the parallel relative risk of Zika virus disease (ZVD) and dengue using spatio-temporal interaction effects models for one department and one city of Colombia during the 2015&ndash

RiskZika virus diseasemedicine.medical_specialtyHealth Toxicology and Mutagenesis030231 tropical medicinedisease mappinglcsh:MedicineColombiaBayesian inferenceArticleDisease OutbreaksDengue feverDengue03 medical and health sciencesSpatio-Temporal Analysis0302 clinical medicineStatisticsEpidemiologymedicineHumans030212 general & internal medicineCitiesEstimationModels StatisticalZika Virus InfectionPublic healthlcsh:RPublic Health Environmental and Occupational Healthintegrated nested Laplace approximationmedicine.diseaseBayesian modelingrelative riskGeographyRelative riskEpidemiological MonitoringTemporal modelingInternational Journal of Environmental Research and Public Health
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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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