Search results for "STATISTICS & PROBABILITY"

showing 10 items of 436 documents

Nonparticipation Selection Bias in the MOBI-Kids Study.

2018

Supplemental Digital Content is available in the text.

GerontologyMaleAdolescentCellular telephone useEpidemiologyCase–control studymedia_common.quotation_subjectEpidemiologic methodsAdolescents01 natural sciencesBrain tumorsBrain cancer010104 statistics & probability03 medical and health sciencesYoung Adult0302 clinical medicineElectromagnetic FieldsAge groupsBiasJapanRisk FactorsGermanySurveys and QuestionnairesPerinatal and Child HealthOdds RatioHumans030212 general & internal medicine0101 mathematicsIsraelChildChildrenmedia_commonSelection biasSelection biasBrain NeoplasmsCase-control studyItalySpainCase-Control StudiesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleFrancePsychologyCell PhoneEpidemiology (Cambridge, Mass.)
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Impact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons

2015

Piia Lavikainen,1,2 Esko Leskinen,3 Sirpa Hartikainen,1,2 Jyrki Möttönen,4 Raimo Sulkava,5 Maarit J Korhonen6 1Kuopio Research Centre of Geriatric Care, University of Eastern Finland, Kuopio, Finland; 2School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 3Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland; 4Department of Social Research, University of Helsinki, Helsinki, Finland; 5Department of Geriatrics, Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; 6Department of Pharmacology, D…

GerontologyattritionlongitudinalEpidemiology01 natural sciences010104 statistics & probability0504 sociologynumber of drugsMedicineClinical EpidemiologyAttrition0101 mathematicsCognitive declineLatent variable modelOriginal ResearchPolypharmacyta112Mini–Mental State Examinationmedicine.diagnostic_testbusiness.industryMechanism (biology)05 social sciences050401 social sciences methodsCognitionta3142medicine.diseaseMissing dataData science3. Good healthlatent variable modelingolder personsMini-Mental State Examinationbusiness
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Exact simulation of first exit times for one-dimensional diffusion processes

2019

International audience; The simulation of exit times for diffusion processes is a challenging task since it concerns many applications in different fields like mathematical finance, neuroscience, reliability horizontal ellipsis The usual procedure is to use discretization schemes which unfortunately introduce some error in the target distribution. Our aim is to present a new algorithm which simulates exactly the exit time for one-dimensional diffusions. This acceptance-rejection algorithm requires to simulate exactly the exit time of the Brownian motion on one side and the Brownian position at a given time, constrained not to have exit before, on the other side. Crucial tools in this study …

Girsanov theoremand phrases: Exit timeDiscretizationsecondary: 65N75Exit time Brownian motion diffusion processes Girsanov’s transformation rejection sampling exact simulation randomized algorithm conditioned Brownian motion.MSC 65C05 65N75 60G40Exit time01 natural sciencesGirsanov’s transformationrandomized algorithm010104 statistics & probabilityrejection samplingGirsanov's transformationexact simulationFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsConvergent seriesBrownian motion60G40MathematicsNumerical AnalysisApplied MathematicsMathematical financeRejection samplingProbability (math.PR)diffusion processesNumerical Analysis (math.NA)conditioned Brownian motionRandomized algorithm010101 applied mathematics[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Computational MathematicsModeling and Simulationconditioned Brownian motion 2010 AMS subject classifications: primary 65C05Brownian motionRandom variableMathematics - ProbabilityAnalysis[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Has the Northern Hemisphere been warming or cooling during the boreal winter of the last few decades?

2013

Abstract The Intergovernmental Panel on Climate Change (IPCC) reported a significant rise of the global mean surface temperature over the last 100 years, with a rate of warming over the last few decades almost double that over the last 100 years. The rate of warming is higher at land surfaces over the Northern Hemisphere (NH), and particularly extreme warming is occurring over the Arctic. In spite of the global warming trend, some asymmetries have been observed. In a recent study, a widespread cooling over the NH during the boreal winter season was reported, although other previous studies observed a warming during this season. In this paper we report trends in winter air temperatures over …

Global and Planetary Change010504 meteorology & atmospheric sciencesGlobal warmingNorthern HemisphereClimate changeOceanographyAtmospheric sciences01 natural sciencesThe arctic010104 statistics & probabilityArctic oscillationBoreal13. Climate actionClimatologyPeriod (geology)Environmental science0101 mathematicsWinter season0105 earth and related environmental sciencesGlobal and Planetary Change
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Kernel-Based Inference of Functions Over Graphs

2018

Abstract The study of networks has witnessed an explosive growth over the past decades with several ground-breaking methods introduced. A particularly interesting—and prevalent in several fields of study—problem is that of inferring a function defined over the nodes of a network. This work presents a versatile kernel-based framework for tackling this inference problem that naturally subsumes and generalizes the reconstruction approaches put forth recently for the signal processing by the community studying graphs. Both the static and the dynamic settings are considered along with effective modeling approaches for addressing real-world problems. The analytical discussion herein is complement…

Graph kernelTheoretical computer scienceComputer sciencebusiness.industryInference020206 networking & telecommunicationsPattern recognition02 engineering and technology01 natural sciencesGraph010104 statistics & probabilityKernel (linear algebra)Kernel methodPolynomial kernelString kernelKernel embedding of distributionsKernel (statistics)Radial basis function kernel0202 electrical engineering electronic engineering information engineeringArtificial intelligence0101 mathematicsTree kernelbusiness
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A recap on Linear Mixed Models and their hat-matrices

2017

This working paper has a twofold goal. On one hand, it provides a recap of Linear Mixed Models (LMMs): far from trying to be exhaustive, this first part of the working paper focusses on the derivation of theoretical results on estimation of LMMs that are scattered in the literature or whose mathematical derivation is sometimes missing or too quickly sketched. On the other hand, it discusses various definitions that are available in the literature for the hat-matrix of Linear Mixed Models, showing their limitations and proving their equivalence.

Hat matriceComputer scienceMatrix algebra resultsLMMInference02 engineering and technologyToo quickly01 natural sciencesGeneralized linear mixed model010104 statistics & probability0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processing0101 mathematicsEquivalence (measure theory)
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Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models.

2015

Modelling patterns of the spatial incidence of diseases using local environmental factors has been a growing problem in the last few years. Geostatistical models have become popular lately because they allow estimating and predicting the underlying disease risk and relating it with possible risk factors. Our approach to these models is based on the fact that the presence/absence of a disease can be expressed with a hierarchical Bayesian spatial model that incorporates the information provided by the geographical and environmental characteristics of the region of interest. Nevertheless, our main interest here is to tackle the misalignment problem arising when information about possible covar…

Health (social science)Computer scienceEpidemiologyGaussian030231 tropical medicineGeography Planning and DevelopmentBayesian probabilityNormal Distributionlcsh:G1-922Medicine (miscellaneous)Bayesian inference01 natural sciencesNormal distribution010104 statistics & probability03 medical and health sciencessymbols.namesakeBayes' theorem0302 clinical medicineCovariateStatisticsINLAHierarchical Bayesian modellingEconometricsHumansGeostatistics0101 mathematicsSpatial AnalysisStochastic ProcessesModels StatisticalHealth PolicyBayes TheoremFasciola hepaticaLaplace's methodsymbolsGaussian network modelBayesian Kriginglcsh:Geography (General)Geospatial health
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Do different models induce changes in mortality indicators? That is a key question for extending the Lee-Carter model

2021

[EN] The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions of this model, using different hypotheses about the data, constraints on the parameters, and appropriate methods have led to improvements in the model's fit to historical data and the model's forecasting of the future. This paper's main objective is to evaluate if differences between models are reflected in different mortality indicators' forecasts. To this end, nine sets of indicator predictions were generated by crossing three models and three block-bootstrap samples with …

Health Toxicology and MutagenesisPopulationESTADISTICA E INVESTIGACION OPERATIVALee–Carter modellcsh:MedicineSample (statistics)forecastingHG01 natural sciencesArticle010104 statistics & probabilityLife ExpectancyMortality indicators0502 economics and businessEconometrics0101 mathematicsMortalityeducationBlock-bootstrapMathematicsProbabilityfunctional ANOVAeducation.field_of_study050208 financeModels StatisticalLee Carter models block-bootstrap functional ANOVA forecasting mortality indicatorsMortality rate05 social scienceslcsh:RPublic Health Environmental and Occupational Healthblock-bootstrapFunctional ANOVAMortality dataParametric modelmortality indicatorsAnalysis of varianceLee-Carter modelsForecasting
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Testing for goodness rather than lack of fit of an X–chromosomal SNP to the Hardy-Weinberg model

2019

The problem of checking the genotype distribution obtained for some diallelic marker for compatibility with the Hardy-Weinberg equilibrium (HWE) condition arises also for loci on the X chromosome. The possible genotypes depend on the sex of the individual in this case: for females, the genotype distribution is trinomial, as in the case of an autosomal locus, whereas a binomial proportion is observed for males. Like in genetic association studies with autosomal SNPs, interest is typically in establishing approximate compatibility of the observed genotype frequencies with HWE. This requires to replace traditional methods tailored for detecting lack of fit to the model with an equivalence test…

HeredityNormal DistributionDistance MeasurementTrinomial01 natural sciencesLinkage Disequilibrium010104 statistics & probabilityStatisticsLack-of-fit sum of squaresMathematicsVenous ThrombosisMeasurement0303 health sciencesMultidisciplinaryQRSoftware EngineeringGenomicsHardy–Weinberg principleGenetic MappingPhysical SciencesEngineering and TechnologyMedicineResearch ArticleComputer and Information SciencesScienceGeometryAsymptotic distributionVariant GenotypesPolymorphism Single NucleotideMolecular Genetics03 medical and health sciencesGenome-Wide Association StudiesGeneticsTest statisticHumansComputer Simulation0101 mathematicsMolecular BiologyGenetic Association Studies030304 developmental biologyChromosomes Human XModels StatisticalModels GeneticSoftware ToolsBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisProbability TheoryProbability DistributionGenotype frequencyRadiiSample size determinationSample SizeBinomial proportion confidence intervalMathematicsPLOS ONE
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Empirical Likelihood-Based ANOVA for Trimmed Means

2016

In this paper, we introduce an alternative to Yuen’s test for the comparison of several population trimmed means. This nonparametric ANOVA type test is based on the empirical likelihood (EL) approach and extends the results for one population trimmed mean from Qin and Tsao (2002). The results of our simulation study indicate that for skewed distributions, with and without variance heterogeneity, Yuen’s test performs better than the new EL ANOVA test for trimmed means with respect to control over the probability of a type I error. This finding is in contrast with our simulation results for the comparison of means, where the EL ANOVA test for means performs better than Welch’s heteroscedastic…

HeteroscedasticityHealth Toxicology and MutagenesisPopulationRobust statisticslcsh:Medicineempirical likelihood01 natural sciencesArticletrimmed means010104 statistics & probabilityF-testStatisticshypothesis testing0101 mathematicseducationMathematicseducation.field_of_studyANOVA010102 general mathematicslcsh:RANOVA; empirical likelihood; trimmed means; robust statistics; hypothesis testingPublic Health Environmental and Occupational HealthNonparametric statisticsTruncated meanBrown–Forsythe testEmpirical likelihoodrobust statisticsInternational Journal of Environmental Research and Public Health; Volume 13; Issue 10; Pages: 953
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