Search results for "Conditional"

showing 10 items of 294 documents

Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring

2019

Heart rate variability (HRV) analysis represents an important tool for the characterization of complex cardiovascular control. HRV indexes are usually calculated from electrocardiographic (ECG) recordings after measuring the time duration between consecutive R peaks, and this is considered the gold standard. An alternative method consists of assessing the pulse rate variability (PRV) from signals acquired through photoplethysmography, a technique also employed for the continuous noninvasive monitoring of blood pressure. In this work, we carry out a thorough analysis and comparison of short-term variability indexes computed from HRV time series obtained from the ECG and from PRV time series …

MaleSupine positionTime FactorsAdolescent0206 medical engineeringBiomedical EngineeringPhotoplethysmography (PPG)Time series analysis02 engineering and technologySettore ING-INF/01 - Elettronica030218 nuclear medicine & medical imagingRobust regressionElectrocardiography (ECG)03 medical and health sciencesElectrocardiography0302 clinical medicineHeart RatePhotoplethysmogramStatisticsHeart rate variabilityHumansTime domainTime seriesPulseMathematicsConditional entropyBlood Pressure Determination020601 biomedical engineeringComputer Science ApplicationsPulse rate variability (PRV)Frequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisFemaleHeart rate variability (HRV)Continuous blood pressure (CBP)
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Joint Estimation of Relative Risk for Dengue and Zika Infections, Colombia, 2015–2016

2019

We jointly estimated relative risk for dengue and Zika virus disease (Zika) in Colombia, establishing the spatial association between them at the department and city levels for October 2015–December 2016. Cases of dengue and Zika were allocated to the 87 municipalities of 1 department and the 293 census sections of 1 city in Colombia. We fitted 8 hierarchical Bayesian Poisson joint models of relative risk for dengue and Zika, including area- and disease-specific random effects accounting for several spatial patterns of disease risk (clustered or uncorrelated heterogeneity) within and between both diseases. Most of the dengue and Zika high-risk municipalities varied in their risk distributio…

MaleZika virus diseaseEpidemiologylcsh:MedicineDengue virusmedicine.disease_causeZika virusZika virusDengue feverDengueconditional auto-regressive prior0302 clinical medicineRisk FactorsPrevalence030212 general & internal medicineGeography MedicalChildBayesian modelsbiologyZika Virus InfectionMiddle AgedRandom effects modelmultivariate risk modelsInfectious DiseasesGeographyChild PreschoolFemaleAdultMicrobiology (medical)medicine.medical_specialtyAdolescent030231 tropical medicineColombiaRisk mapsHistory 21st CenturyRisk Assessmentlcsh:Infectious and parasitic diseasesYoung Adult03 medical and health sciencesAge DistributionEnvironmental healthmedicineHumanslcsh:RC109-216Estimationdengue virusResearchPublic healthlcsh:RInfant NewbornInfantBayes Theorembiology.organism_classificationmedicine.diseaseRelative riskEmerging Infectious Diseases
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Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study

2021

Air pollution effects on cardiovascular hospitalizations in small urban/suburban areas have been scantly investigated. Such effects were assessed among the participants in the analytical epidemiological survey carried out in Pisa and Cascina, Tuscany, Italy (2009–2011). Cardiovascular hospitalizations from 1585 subjects were followed up (2011–2015). Daily mean pollutant concentrations were estimated through random forests at 1 km (particulate matter: PM10, 2011–2015

Malemedicine.medical_specialtyLongitudinal studycardiovascular hospitalizationHealth Toxicology and MutagenesisPopulationair pollutionAir pollutionlcsh:Medicinehigh-resolution pollutant estimate010501 environmental sciencesmedicine.disease_cause01 natural sciencesArticleOdds03 medical and health sciences0302 clinical medicineEpidemiologymedicineHumans030212 general & internal medicineLongitudinal Studieshigh-resolution pollutant estimateseducation0105 earth and related environmental scienceseducation.field_of_studyAir Pollutantscase-crossover designbusiness.industrylcsh:RPublic Health Environmental and Occupational HealthEnvironmental Exposuresuburban areassmall citiesmall citiesHospitalizationItalyCardiovascular DiseasesConditional logistic regressionParticulate Matterepidemiologybusinesscardiovascular hospitalizationsDemographyInternational Journal of Environmental Research and Public Health
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Demand for and Pricing of Mobile Internet: Evidence from a Real-World Pricing Experiment

2006

Commercialization of innovations frequently stumbles. A prominent recent example are the early (i.e. pre3G)mobile phone-enabled Internet services, whose European takeup was slower than expected. To determine why, we build a structural model of demand for such services and estimate it using consumerlevel panel data from a real world pricing experiment. The experiment allows for a decomposition of the number of wireless connections into the number of needs instances where a consumer would establish a connection if the price were zero and the conditional probability of establishing a connection. We find that needs were plenty and potential consumer surplus several magnitudes higher than that a…

Marginal costbusiness.industrymedia_common.quotation_subjectConditional probabilityEconomic surplusCommercializationMicroeconomicsEconomicsWirelessThe InternetbusinessWelfarePanel datamedia_commonSSRN Electronic Journal
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Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse

2021

This article presents a novel and remarkably efficient method of computing the statistical G-test made possible by exploiting a connection with the fundamental elements of information theory: by writing the G statistic as a sum of joint entropy terms, its computation is decomposed into easily reusable partial results with no change in the resulting value. This method greatly improves the efficiency of applications that perform a series of G-tests on permutations of the same features, such as feature selection and causal inference applications because this decomposition allows for an intensive reuse of these partial results. The efficiency of this method is demonstrated by implementing it as…

Markov blanketMarkov blanketComputer sciencecomputation reuseConditional mutual informationComputationSciencePhysicsQC1-999QGeneral Physics and AstronomyContext (language use)Feature selectionInformation theoryAstrophysicsJoint entropyArticleG-testQB460-466feature selectionCausal inferencecausal inferenceAlgorithminformation theoryEntropy
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MRF Model-Based Approach for Image Segmentation Using a Chaotic MultiAgent System

2006

In this paper, we propose a new Chaotic MultiAgent System (CMAS) for image segmentation. This CMAS is a distributed system composed of a set of segmentation agents connected to a coordinator agent. Each segmentation agent performs Iterated Conditional Modes (ICM) starting from its own initial image created initially from the observed one by using a chaotic mapping. However, the coordinator agent receives and diversifies these images using a crossover and a chaotic mutation. A chaotic system is successfully used in order to benefit from the special chaotic characteristic features such as ergodic property, stochastic aspect and dependence on initialization. The efficiency of our approach is s…

Markov random fieldbusiness.industryComputer scienceMulti-agent systemCrossoverChaoticInitializationImage segmentationComputingMethodologies_ARTIFICIALINTELLIGENCEComputer Science::Multiagent SystemsNonlinear Sciences::Chaotic DynamicsComputerSystemsOrganization_MISCELLANEOUSIterated conditional modesSegmentationArtificial intelligencebusinessAlgorithm
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COMPARING THE MARSHALL PLAN AND THE EUROPEAN NEXT GENERATION UE. Models and Legal Tools of International and Supernational Cooperation to Promote Eco…

2022

The article analyzes and compares the European Recovery Plan of 1948, commonly known as the Marshall Plan, for the reconstruction of Europe after the Second World War (paragraphs 2, 2.1, 2.2), and the Next Generation EU (paragraphs 3, 3.1) through the lens and methods of legal comparison and historical analysis. As the description of the law cannot ignore the historicization of the object of study, such comparison is carried out inductively, through the analysis of the legal mechanisms in their concrete attitudes and the construction of descriptive schemes of facts, having regard to the legal discipline, but also to the functional profiles and the context in which the rules are conceived. T…

Marshall Plan Next Generation EU compliance strategies conditionalities economic development comparative method diachronic comparison.Settore IUS/02 - Diritto Privato ComparatoSettore IUS/21 - Diritto Pubblico Comparato
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Statistical prediction of corrosion front penetration

1997

A statistical method to predict the stochastic evolution of corrosion fronts has been developed. The method is based on recording material loss and maximum front depth. In this paper we introduce the method and test its applicability. In the absence of experimental data we use simulation data from a three-dimensional corrosion model for this test. The corrosion model simulates localized breakdown of a protective oxide layer, hydrolysis of corrosion product and repassivation of the exposed surface. In the long time limit of the model, pits tend to coalesce. For different model parameters the model reproduces corrosion patterns observed in experiment. The statistical prediction method is base…

Materials scienceStochastic processEconometricsProtective oxideConditional probabilityMechanicsPenetration (firestop)Physics::Chemical PhysicsStochastic evolutionPenetration depthResidualCorrosionPhysical Review E
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A Conditional Value–at–Risk Model for Insurance Products with Guarantee

2009

We propose a model to select the optimal portfolio which underlies insurance policies with a guarantee. The objective function is defined in order to minimise the conditional value at-risk (CVaR) of the distribution of the losses with respect to a target return. We add operational and regulatory constraints to make the model as flexible as possible when used for real applications. We show that the integration of the asset and liability side yields superior performances with respect to naive fixed-mix portfolios and asset based strategies. We validate the model on out-of-sample scenarios and provide insights on policy design.

Mathematical optimizationPortfolio selection.Actuarial scienceComputer scienceCVARAsset-liability managementAsset-liability management; Conditional value-at-risk; CVaR; Policies with a minimum guarantee; Portfolio selection.Management Science and Operations ResearchPolicies with a minimum guaranteeExpected shortfallInsurance policyReplicating portfolioPortfolioCapital asset pricing modelAsset (economics)Statistics Probability and UncertaintyBusiness and International ManagementPortfolio optimizationCVaRConditional value-at-risk
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On the checking of g-coherence of conditional probability bounds

2003

We illustrate an approach to uncertain knowledge based on lower conditional probability bounds. We exploit the coherence principle of de Finetti and a related notion of generalized coherence (g-coherence), which is equivalent to the "avoiding uniform loss" property introduced by Walley for lower and upper probabilities. Based on the additive structure of random gains, we define suitable notions of non relevant gains and of basic sets of variables. Exploiting them, the linear systems in our algorithms can work with reduced sets of variables and/or constraints. In this paper, we illustrate the notions of non relevant gain and of basic set by examining several cases of imprecise assessments d…

Mathematical optimizationSettore MAT/06 - Probabilita' E Statistica MatematicaPosterior probabilityConditional probability tablealgorithmslower conditional probability boundRegular conditional probabilityalgorithms; generalized coherence; linear systems; lower conditional probability bounds; probabilistic reasoning; reduced sets of variables and constraints.Artificial Intelligencelinear systemprobabilistic reasoninggeneralized coherenceMathematicsDiscrete mathematicsreduced sets of variables and constraintsalgorithmlinear systemsProbabilistic logicLaw of total probabilityConditional probabilityCoherence (philosophical gambling strategy)Conditional probability distributionControl and Systems Engineeringlower conditional probability boundsSoftwareInformation Systems
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