Search results for "Bay"

showing 10 items of 1187 documents

Some contributions in disease mapping modeling

2020

Disease mapping ha recibido un gran interés durante las tres últimas décadas. Esta área de investigación persigue el estudio de la distribución geográfica de eventos relacionados con la salud, tales como la mortalidad o la incidencia de enfermedades, agregados en unidades geográficas, con el fin de identificar principalmente aquellas localizaciones que presentan un mayor riesgo. La aplicación de métodos estadísticos avanzados para llevar a cabo las estimaciones de los riesgos resulta fundamental para obtener estimaciones precisas y profundizar en el entendimiento de la distribución geográfica de las enfermedades. En esta tesis nos centramos en la aplicación y evaluación de varias propuestas…

bayesian statistics:MATEMÁTICAS [UNESCO]mortality studiesdisease mappingmultivariate disease mappingUNESCO::MATEMÁTICASspatial statistics
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Copulation duration, but not paternity share, potentially mediates inbreeding avoidance in Drosophila montana

2014

Studying the incidence of inbreeding avoidance is important for understanding the evolution of mating systems, especially in the context of mate choice for genetic compatibility. We investigated whether inbreeding avoidance mechanisms have evolved in the malt fly, Drosophila montana, by measuring mating latency (a measure of male attractiveness), copulation duration, days to remating, offspring production, and the proportion of offspring sired by the first (P1) and second (P2) male to mate in full-sibling and unrelated pairs. SNP markers were used for paternity analysis and for calculating pairwise relatedness values (genotype sharing) between mating pairs. We found 18 % inbreeding depressi…

bayesian statisticsGeneticseducation.field_of_studyPopulationZoologyContext (language use)BiologyMating systembeta-binomial distributionMate choiceAnimal ecologyInbreeding depressionInbreeding avoidanceAnimal Science and ZoologySNP genotypingMatingeducationEcology Evolution Behavior and Systematicsinbreeding depression
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Bayesian Analysis of zero-inflated regression model with application to dental caries

2011

bayesian statisticszero-inflated modelSettore MED/01 - Statistica Medica
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Cluster priors in the Bayesian modelling of fMRI data

2001

bildanalysmarked point processesMonte Carlo -menetelmätMarkov chain Monte Carloimage analysiskuva-analyysiMarkovin ketjutmagneettitutkimusaivotfunctional magnetic resonance imaginghuman brainBayesian modellingMarkovkedjor
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Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information

2010

Genetic structure and relationship amongst the main goat populations in Sicily (Girgentana, Derivata di Siria, Maltese and Messinese) were analysed using information from 19 microsatellite markers genotyped on 173 individuals. A posterior Bayesian approach implemented in the program STRUCTURE revealed a hierarchical structure with two clusters at the first level (Girgentana vs. Messinese, Derivata di Siria and Maltese), explaining 4.8% of variation (amovaФ(ST) estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (amovaФ(SC) estimate). The analyses and methods applied in this stu…

biodiversity managementhierarchical genealogical structureGoatsgoatBayes TheoremBreedingbiodiversity management; clustering; goat; hierarchical genealogical structure; microsatellite diversityPedigreeSettore AGR/17 - Zootecnica Generale E Miglioramento Geneticomicrosatellite diversityAnimalsSicilyclusteringMicrosatellite Repeats
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Statistical Adhockeries Are No Criteria for Legal Decisions—The Case of the Expert Medical Report on the Assessment of Urine Specimens Collected Amon…

2019

biologyAthletesGeneral CommentaryApplied psychologylcsh:HM401-1281General Social SciencesMedical reportCoherence (statistics)biology.organism_classificationcoherencelcsh:Sociology (General)SociologyplausibilityLegal Decisionsexpertisestatistical approachBayesian (subjective) probabilityPsychologyFrontiers in Sociology
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Trend of Foreign Tourist Visits in the Conservation Area of the Cenderawasih Bay National Park (TNTC) with Special Interest on Whale Shark (Rhincodon…

2021

Tourist areas have a significant role in several aspects including economic, social and environmental. The national park has a considerable potential in the aspect of tourism. In addition to having mega biodiversity, the Cenderawasih Bay National Park (TNTC) also has a strong special attraction in term of whale shark, available year-round. Therefore, foreign tourism potential at TNTC is very high and much in demand by both local and foreign tourists. By processing visitation data, we were able to obtain trend and potentials in supporting the carrying capacity of whale shark tourism areas. Through these data, the estimated number of visitors in 2020 at TNTC was also obtained. Data were perfo…

biologyNational parkHigh intensitymedia_common.quotation_subjectBiodiversitySpecial Interest GroupWhale sharkbiology.organism_classificationFisheryGeographyPromotion (rank)BayTourismmedia_commonJURNAL SUMBERDAYA AKUATIK INDOPASIFIK
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On the origin and diversification of Podolian cattle breeds: testing scenarios of European colonization using genome-wide SNP data

2021

AbstractBackgroundDuring the Neolithic expansion, cattle accompanied humans and spread from their domestication centres to colonize the ancient world. In addition, European cattle occasionally intermingled with both indicine cattle and local aurochs resulting in an exclusive pattern of genetic diversity. Among the most ancient European cattle are breeds that belong to the so-called Podolian trunk, the history of which is still not well established. Here, we used genome-wide single nucleotide polymorphism (SNP) data on 806 individuals belonging to 36 breeds to reconstruct the origin and diversification of Podolian cattle and to provide a reliable scenario of the European colonization, throug…

breedsmolecular markersSNP bos taurus Podolian cattle genetic diversity population structureGenetic genealogyved/biology.organism_classification_rank.speciesSNPPodolianQH426-470BiologyDiversification (marketing strategy)Polymorphism Single NucleotideSF1-1100genome-wideEvolution Molecular03 medical and health sciencesGene FrequencyevolutionGeneticsAnimalsColonizationDomesticationEcology Evolution Behavior and Systematics030304 developmental biology2. Zero hunger0303 health sciencesGenetic diversitySettore AGR/17 - ZOOTECNICA GENERALE E MIGLIORAMENTO GENETICOModels Geneticlocal breedsved/biologyTaurine cattle0402 animal and dairy scienceBayes TheoremGenomics04 agricultural and veterinary sciencesGeneral MedicineAurochsbiology.organism_classification040201 dairy & animal scienceAnimal cultureEvolutionary biologyCattleAnimal Science and ZoologyApproximate Bayesian computationAnimal Distributioncattle local breeds molecular markers evolutionResearch ArticleSelective BreedingGenetics Selection Evolution
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贝叶斯因子及其在JASP中的实现

2018

Statistical inference plays a critical role in modern scientific research, however, the dominant method for statistical inference in science, null hypothesis significance testing (NHST), is often misunderstood and misused, which leads to unreproducible findings. To address this issue, researchers propose to adopt the Bayes factor as an alternative to NHST. The Bayes factor is a principled Bayesian tool for model selection and hypothesis testing, and can be interpreted as the strength for both the null hypothesis H0 and the alternative hypothesis H1 based on the current data. Compared to NHST, the Bayes factor has the following advantages: it quantifies the evidence that the data provide for…

business.industryAlternative hypothesisBayesian probabilityBayes factorMachine learningcomputer.software_genreBayesian statisticsFrequentist inferenceStatistical inferenceArtificial intelligenceNull hypothesisbusinessGeneral Economics Econometrics and FinancecomputerStatistical hypothesis testingAdvances in Psychological Science
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Ensemble feature selection with the simple Bayesian classification

2003

Abstract A popular method for creating an accurate classifier from a set of training data is to build several classifiers, and then to combine their predictions. The ensembles of simple Bayesian classifiers have traditionally not been a focus of research. One way to generate an ensemble of accurate and diverse simple Bayesian classifiers is to use different feature subsets generated with the random subspace method. In this case, the ensemble consists of multiple classifiers constructed by randomly selecting feature subsets, that is, classifiers constructed in randomly chosen subspaces. In this paper, we present an algorithm for building ensembles of simple Bayesian classifiers in random sub…

business.industryBayesian probabilityFeature selectionPattern recognitionMachine learningcomputer.software_genreLinear subspaceRandom subspace methodNaive Bayes classifierBayes' theoremComputingMethodologies_PATTERNRECOGNITIONHardware and ArchitectureSignal ProcessingArtificial intelligencebusinesscomputerClassifier (UML)SoftwareCascading classifiersInformation SystemsMathematicsInformation Fusion
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