Search results for " Generalized"

showing 10 items of 87 documents

An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

2020

Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…

FOS: Computer and information sciencesStatistics and ProbabilityTime FactorsOccupancyCoronavirus disease 2019 (COVID-19)Computer science01 natural sciencesGeneralized linear mixed modelSARS‐CoV‐2law.inventionclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensembleMethodology (stat.ME)panel data010104 statistics & probability03 medical and health sciences0302 clinical medicinelawCOVID‐19Intensive careEconometricsHumansclustered data030212 general & internal medicine0101 mathematicsPandemicsStatistics - MethodologySARS-CoV-2Reproducibility of ResultsCOVID-19General Medicineweighted ensembleIntensive care unitResearch PapersTerm (time)integer autoregressiveIntensive Care UnitsAutoregressive modelItalyNonlinear Dynamicsgeneralized linear mixed modelinteger autoregressive modelclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensemble; COVID-19; Humans; Intensive Care Units; Italy; Nonlinear Dynamics; Pandemics; Reproducibility of Results; Time Factors; ForecastingStatistics Probability and UncertaintySettore SECS-S/01Settore SECS-S/01 - StatisticaPanel dataResearch PaperForecasting
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A Widrow–Hoff Learning Rule for a Generalization of the Linear Auto-associator

1996

Abstract A generalization of the linear auto-associator that allows for differential importance and nonindependence of both the stimuli and the units has been described previously by Abdi (1988). This model was shown to implement the general linear model of multivariate statistics. In this note, a proof is given that the Widrow–Hoff learning rule can be similarly generalized and that the weight matrix will converge to a generalized pseudo-inverse when the learning parameter is properly chosen. The value of the learning parameter is shown to be dependent only upon the (generalized) eigenvalues of the weight matrix and not upon the eigenvectors themselves. This proof provides a unified framew…

General linear modelArtificial neural networkbusiness.industryGeneralizationApplied MathematicsGeneralized linear array modelMachine learningcomputer.software_genreGeneralized linear mixed modelHierarchical generalized linear modelLearning ruleApplied mathematicsArtificial intelligencebusinesscomputerGeneral PsychologyEigenvalues and eigenvectorsMathematicsJournal of Mathematical Psychology
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On the fractional probabilistic Taylor's and mean value theorems

2016

In order to develop certain fractional probabilistic analogues of Taylor's theorem and mean value theorem, we introduce the nth-order fractional equilibrium distribution in terms of the Weyl fractional integral and investigate its main properties. Specifically, we show a characterization result by which the nth-order fractional equilibrium distribution is identical to the starting distribution if and only if it is exponential. The nth-order fractional equilibrium density is then used to prove a fractional probabilistic Taylor's theorem based on derivatives of Riemann-Liouville type. A fractional analogue of the probabilistic mean value theorem is thus developed for pairs of nonnegative rand…

Generalized Taylor’s formulaMean value theoremSurvival bounded order01 natural sciencesStochastic ordering010104 statistics & probabilityCharacterization of exponential distribution; Fractional calculus; Fractional equilibrium distribution; Generalized Taylor’s formula; Mean value theorem; Survival bounded orderFOS: MathematicsCharacterization of exponential distributionApplied mathematics0101 mathematicsMathematicsComputer Science::Information RetrievalApplied MathematicsProbability (math.PR)010102 general mathematicsProbabilistic logic60E99 26A33 26A24Fractional calculusFractional equilibrium distributionFractional calculusExponential functionDistribution (mathematics)Bounded functionMean value theorem (divided differences)Random variableAnalysisMathematics - Probability
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Model averaging estimation of generalized linear models with imputed covariates

2015

a b s t r a c t We address the problem of estimating generalized linear models when some covariate values are missing but imputations are available to fill-in the missing values. This situation generates a bias-precision trade- off in the estimation of the model parameters. Extending the generalized missing-indicator method proposed by Dardanoni et al. (2011) for linear regression, we handle this trade-off as a problem of model uncertainty using Bayesian averaging of classical maximum likelihood estimators (BAML). We also propose a block model averaging strategy that incorporates information on the missing-data patterns and is computationally simple. An empirical application illustrates our…

Generalized linear modelEconomics and EconometricsApplied MathematicsSettore SECS-P/05 - EconometriaEstimatorMissing dataGeneralized linear mixed modelModel averaging Bayesian averaging of maximum likelihood destimators Generalized linear models Missing covariates Generalized missing-indicator method shareHierarchical generalized linear modelStatisticsLinear regressionCovariateApplied mathematicsGeneralized estimating equationMathematics
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Weighted-average least squares estimation of generalized linear models

2018

The weighted-average least squares (WALS) approach, introduced by Magnus et al. (2010) in the context of Gaussian linear models, has been shown to enjoy important advantages over other strictly Bayesian and strictly frequentist model averaging estimators when accounting for problems of uncertainty in the choice of the regressors. In this paper we extend the WALS approach to deal with uncertainty about the specification of the linear predictor in the wider class of generalized linear models (GLMs). We study the large-sample properties of the WALS estimator for GLMs under a local misspecification framework that allows the development of asymptotic model averaging theory. We also investigate t…

Generalized linear modelEconomics and EconometricsGeneralized linear modelsBayesian probabilityGeneralized linear modelSettore SECS-P/05 - EconometriaLinear predictionContext (language use)01 natural sciencesLeast squares010104 statistics & probabilityWALS; Model averaging; Generalized linear models; Monte Carlo; AttritionFrequentist inference0502 economics and businessAttritionEconometricsApplied mathematicsStatistics::Methodology0101 mathematicsMonte Carlo050205 econometrics MathematicsWALSApplied Mathematics05 social sciencesLinear modelEstimatorModel averaging
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Using the dglars Package to Estimate a Sparse Generalized Linear Model

2015

dglars is a publicly available R package that implements the method proposed in Augugliaro et al. (J. R. Statist. Soc. B 75(3), 471-498, 2013) developed to study the sparse structure of a generalized linear model (GLM). This method, called dgLARS, is based on a differential geometrical extension of the least angle regression method. The core of the dglars package consists of two algorithms implemented in Fortran 90 to efficiently compute the solution curve. dglars is a publicly available R package that implements the method proposed in Augugliaro et al. (J. R. Statist. Soc. B 75(3), 471-498, 2013) developed to study the sparse structure of a generalized linear model (GLM). This method, call…

Generalized linear modelFortranLeast-angle regressionGeneralized linear array modelFeature selectionSparse approximationdgLARS generalized linear models sparse models variable selectionGeneralized linear mixed modelSettore SECS-S/01 - StatisticacomputerGeneralized estimating equationAlgorithmMathematicscomputer.programming_language
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On generalized weakly G-contraction mapping in G-metric spaces

2011

AbstractIn this paper, we establish some common fixed point results for two self-mappings f and g on a generalized metric space X. To prove our results we assume that f is a generalized weakly G-contraction mapping of types A and B with respect to g.

Generalized weakly G-contractionSettore MAT/05 - Analisi MatematicaGeneralized metric spacesCommon fixed point generalized weakly G-contraction generalized metric spacesCommon fixed point
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Organized Sport Participation and Physical Activity Levels among Adolescents with Functional Limitations

2017

Sufficient and regular physical activity is considered a protective factor, reducing the onset of secondary disability conditions in adolescents with chronic diseases and functional limitations. The aim of this study was to explore whether participation in organized sport may be associated to higher levels of physical activity in adolescents with functional limitations, based on a national representative sample. Data from the Health Behaviour in School-aged Children (HBSC) study collected in Finland from two data collection rounds (2002 and 2010) were conducted and pooled from adolescents aged between 13 and 15 years old with functional limitations (n = 1041). Differences in self-reported p…

GerontologyInternational Classification of Functioning Disability and Health ICFPopulationVisual impairmentInternational Classification of Functioning Disability and Health (ICF)Protective factorPhysical activityvisual impairmentfyysinen toimintakykyPhysical Therapy Sports Therapy and RehabilitationInternational Classification of FunctioningArticleDevelopmental psychology03 medical and health scienceslcsh:GV557-1198.9950302 clinical medicinemedicinesalutogeneesiOrthopedics and Sports Medicine030212 general & internal medicineeducationta315krooniset tauditsalutogenesis; chronic disease; epilepsy; visual impairment; International Classification of Functioning Disability and Health ICF; generalized resistance resourceslcsh:Sportseducation.field_of_studyHealth behaviourta3141030229 sport sciencesSalutogenesisChronic diseasegeneralized resistance resourcesepilepsysalutogenesismedicine.symptomPsychologychronic diseaseepilepsiaDisability and Health ICF
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Congenital generalized hypertrichosis: the skin as a clue to complex malformation Syndromes.

2015

Hypertrichosis is defined as an excessive growth in body hair beyond the normal variation compared with individuals of the same age, race and sex and affecting areas not predominantly androgen-dependent. The term hirsutism is usually referred to patients, mainly women, who show excessive hair growth with male pattern distribution. Hypertrichosis is classified according to age of onset (congenital or acquired), extent of distribution (generalized or circumscribed), site involved, and to whether the disorder is isolated or associated with other anomalies. Congenital hypertrichosis is rare and may be an isolated condition of the skin or a component feature of other disorders. Acquired hypertri…

HypertrichosisPediatricsmedicine.medical_specialtybusiness.industryHypertrichosisGenetic Diseases X-LinkedAdrenal neoplasmSyndromeReviewmedicine.diseaseSettore MED/03 - GENETICA MEDICABody hairEpilepsyCongenital generalized hypertrichosisAnorexia nervosa (differential diagnoses)Pediatrics Perinatology and Child HealthmedicineHumansEndocrine systemAge of onsetbusinesshirsutismSkin
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Cultural adaptation of the Smiling is Fun program for the treatment of depression in the Ecuadorian public health care system: A study protocol for a…

2021

Background Depression is one of the world's major health problems. Due to its high prevalence, it constitutes the first cause of disability among the Americas, where only a very low percentage of the population receives the adequate evidence-based psychological treatment. Internet-Based Interventions (IBIs) are a great alternative to reduce the treatment gap for mental disorders. Although there are several studies in low-and middle-income countries proving IBIs' feasibility and acceptability, there is still little evidence of the effectiveness in diverse social and cultural contexts such as Latin America. Methods Two studies will be described: Study 1 is focused on the cultural adaptation o…

ICD-10 International Classification of Diseases-10GerontologyRCT Randomized Control Trial050103 clinical psychologyOASIS Overall Anxiety Severity and Impairment ScalePsychological interventionAPOI Attitudes Towards Psychological Online Interventionslaw.inventionCultural adaptation0302 clinical medicineCEQ Credibility and Expectancy QuestionnaireRandomized controlled trialODSIS Overall Depression Severity and Impairment Scalelaw030212 general & internal medicineCSQ Client Satisfaction QuestionnaireDepression (differential diagnoses)CRQ Cultural Relevance Questionnaireeducation.field_of_studylcsh:T58.5-58.64Depressionlcsh:Information technology05 social sciencesIBIs Internet-Based InterventionsTiC-P Trimbos/iMTA Questionnaire on Costs on Psychiatric IllnessesSPIRIT Recommendations for Interventional TrialsM.I.N.I. 5.0 MINI International Neuropsychiatric Interview 5.0PC Primary CareQALYs Quality-Adjusted Life-YearsdepressionRandomized Controlled TrialAnxietyRCI Reliable Change Indexmedicine.symptomPsychologyPHQ-9 Patient Health Questionnaire-9WL Waiting Listlcsh:BF1-990PopulationHealth InformaticsContext (language use)cultural adaptationGAD-7 Generalized Anxiety Disorder-703 medical and health sciencesPHC Public Health CareQuality of life (healthcare)EBPTs Evidence-Based Psychological TreatmentsIntervention (counseling)medicine0501 psychology and cognitive sciencesBDI-II Beck Depression Inventory-IIAQoL-6D Assessment of Quality of Life 6 DimensionsMCAR Missing Completely at Randompublic health careeducationPublic Health CareInternet-based interventionFull length ArticleSUS System Usability ScaleLatin Americalcsh:PsychologyWAI-TECH-SF Working Alliance Inventory for Online Intervention-Short Formrandomized controlled trialICERs Incremental Cost-Effectiveness RatiosPANAS Positive and Negative Affect ScheduleE-SF Ecuadorian Cultural Version of Smiling is FunCONSORT Consolidated Standards of Reporting TrialsInternet Interventions
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