Search results for "Probability"

showing 10 items of 3417 documents

Direct antiviral agents and risk of HCC: Waiting for Godot.

2018

Carcinoma HepatocellularHepatologyWaiting Listsbusiness.industryLiver NeoplasmsBioinformatics01 natural sciencesAntiviral AgentsHepatitis C010104 statistics & probability03 medical and health sciences0302 clinical medicineText miningMedicineHumans030211 gastroenterology & hepatology0101 mathematicsbusinessJournal of hepatology
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Kinetic models for nucleocytoplasmic transport of messenger RNA

1995

Abstract Much is known about the mechanism by which mRNAs cross the nuclear envelope (the translocation stage of nucleocytoplasmic transport), but far less is known about the preceding (intranuclear migration/release) and succeeding (cytoplasmic binding) stages. Therefore, existing information suffices for articulating detailed kinetic models of translocation, but not models for the overall mRNA transport process. In this paper, we show that simple kinetic models of translocation can (i) accommodate date about nucleocytoplasmic distributions of endogenous transcripts; (ii) predict the overall effects on these distributions of effectors such as insulin and epidermal growth factor; (iii) thro…

Cell NucleusStatistics and ProbabilityCytoplasmMessenger RNAModels GeneticGeneral Immunology and MicrobiologyMechanism (biology)EffectorApplied MathematicsChromosomal translocationGeneral MedicineBiologyTranslocation GeneticGeneral Biochemistry Genetics and Molecular BiologyCell biologyKineticsBiochemistryNucleocytoplasmic TransportEpidermal growth factorCytoplasmModeling and SimulationAnimalsMRNA transportRNA MessengerGeneral Agricultural and Biological SciencesJournal of Theoretical Biology
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Probability of hysterectomy in Germany

2018

Introduction Hysterectomy is the most common gynecological surgery in many industrialized countries. In Germany, the hysterectomy rate is high in comparison to other European countries. The aim of this analysis was to determine the distribution of age at hysterectomy as well as the age-specific probability of undergoing a hysterectomy between the ages of 0–64 in the German female population. Methods Analyses were based on data from the MARZY study, a prospective, randomized, population-based cohort study investigating early detection of cervical cancer in western Germany. At baseline, 6429 women were invited to attend cervical cancer screening. The distribution of age at hysterectomy as wel…

Cervical cancermedicine.medical_specialtyeducation.field_of_studyHysterectomyEpidemiologybusiness.industryUterine fibroidsObstetricsInverse probability weightingmedicine.medical_treatmentPopulationPublic Health Environmental and Occupational Healthmedicine.diseaseMedicinebusinesseducationSurvival analysisGynecological surgeryCohort studyRevue d'Épidémiologie et de Santé Publique
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Stability analysis of neutral systems with mixed time-varying delays and nonlinear perturbations

2009

In this paper, the problem of stability analysis for a class of neutral systems with mixed time-varying neutral, discrete and distributed delays and nonlinear perturbations are addressed. By introducing a novel Lyapunov-Krasovskii functional and combining the descriptor model transformation, the Leibniz-Newton formula, some free weighting matrices and a suitable change of variables, new sufficient conditions are established for the stability of the considered system, which are neutral-delay-dependent, discrete-delay-range-dependent and distributed-delay-dependent. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be easily solved by existing convex optimizat…

Change of variablesControl theoryControl and Systems EngineeringModel transformationConvex optimizationNonlinear perturbationsLinear matrixNeutral systemsStability (probability)computerWeightingMathematicscomputer.programming_language
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Aggregate Behavior and Microdata

2004

Abstract It is shown how one can effectively use microdata in modelling the change over time in an aggregate (e.g. mean consumption expenditure) of a large and heterogeneous population. The starting point of our aggregation analysis is a specification of explanatory variables on the micro-level. Typically, some of these explanatory variables are observable and others are unobservable. Based on certain hypotheses on the evolution over time of the joint distributions across the population of these explanatory variables we derive a decomposition of the change in the aggregate which allows a partial analysis: to isolate and to quantify the effect of a change in the observable explanatory variab…

Change over timeEconomics and Econometricseducation.field_of_studyPopulationAggregate behaviorMicrodata (statistics)jel:E21Observablejel:D12UnobservableHeterogeneous populationJoint probability distributionStatisticsEconometricsEconomicseducationFinance
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An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing

2017

Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information. This is the case for the popular dehazing method Dark Channel Prior. In order to improve its performance, the authors propose to combine it with the recent multiscale STRESS, which serves to estimate Bright Channel Prior. Visual and quantitative evaluations show that this method outperforms Dark Channel Prior and competes with the most robust dehazing methods, since it separates bright and dark areas and …

Channel (digital image)business.industryComputer science020206 networking & telecommunications[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingAstrophysics::Cosmology and Extragalactic Astrophysics02 engineering and technologyGeneral Chemistry[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Atomic and Molecular Physics and OpticsComputer Science ApplicationsElectronic Optical and Magnetic Materials[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer graphics (images)[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingPrior probability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceSingle imagebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingJournal of Imaging Science and Technology
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On the statistical properties of the capacity of OSTBC Nakagami-lognormal MIMO channels

2010

This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) Nakagami-lognormal (NLN) multiple-input multipleoutput (MIMO) channels. The NLN channel model allows to study the joint effects of fast fading and shadowing on the statistical properties of the channel capacity. We have derived exact analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the capacity of NLN MIMO channels. It is observed that an increase in the MIMO dimension1 or a decrease in the severity of fading results in an increase in the mean channel capa…

Channel capacityCumulative distribution functionMIMOLog-normal distributionStatisticsFadingNakagami distributionProbability density functionStandard deviationComputer Science::Information TheoryMathematics2010 4th International Conference on Signal Processing and Communication Systems
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Is there an absolutely continuous random variable with equal probability density and cumulative distribution functions in its support? Is it unique? …

2014

This paper inquires about the existence and uniqueness of a univariate continuous random variable for which both cumulative distribution and density functions are equal and asks about the conditions under which a possible extrapolation of the solution to the discrete case is possible. The issue is presented and solved as a problem and allows to obtain a new family of probability distributions. The different approaches followed to reach the solution could also serve to warn about some properties of density and cumulative functions that usually go unnoticed, helping to deepen the understanding of some of the weapons of the mathematical statistician’s arsenal.

Characteristic function (probability theory)Cumulative distribution functionCalculusProbability mass functionProbability distributionApplied mathematicsProbability density functionMoment-generating functionRandom variableLaw of the unconscious statisticianMathematicsInternational Journal of Advanced Statistics and Probability
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On the use of fractional calculus for the probabilistic characterization of random variables

2009

In this paper, the classical problem of the probabilistic characterization of a random variable is re-examined. A random variable is usually described by the probability density function (PDF) or by its Fourier transform, namely the characteristic function (CF). The CF can be further expressed by a Taylor series involving the moments of the random variable. However, in some circumstances, the moments do not exist and the Taylor expansion of the CF is useless. This happens for example in the case of $\alpha$--stable random variables. Here, the problem of representing the CF or the PDF of random variables (r.vs) is examined by introducing fractional calculus. Two very remarkable results are o…

Characteristic function (probability theory)FOS: Physical sciencesAerospace EngineeringMathematics - Statistics TheoryOcean EngineeringProbability density functionComplex order momentStatistics Theory (math.ST)Fractional calculusymbols.namesakeIngenieurwissenschaftenFOS: MathematicsTaylor seriesApplied mathematicsCharacteristic function serieMathematical PhysicsCivil and Structural EngineeringMathematicsGeneralized Taylor serieMechanical EngineeringStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Condensed Matter PhysicsFractional calculusFourier transformNuclear Energy and EngineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsFractional calculus; Generalized Taylor series; Complex order moments; Fractional moments; Characteristic function series; Probability density function seriesddc:620Series expansionFractional momentProbability density function seriesSettore ICAR/08 - Scienza Delle CostruzioniRandom variableData Analysis Statistics and Probability (physics.data-an)
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Path integral solution for non-linear system enforced by Poisson White Noise

2008

Abstract In this paper the response in terms of probability density function of non-linear systems under Poisson White Noise is considered. The problem is handled via path integral (PI) solution that may be considered as a step-by-step solution technique in terms of probability density function. First the extension of the PI to the case of Poisson White Noise is derived, then it is shown that at the limit when the time step becomes an infinitesimal quantity the Kolmogorov–Feller (K–F) equation is fully restored enforcing the validity of the approximations made in obtaining the conditional probability appearing in the Chapman Kolmogorov equation (starting point of the PI). Spectral counterpa…

Characteristic function (probability theory)Mechanical EngineeringMathematical analysisFokker-Planck equationAerospace EngineeringConditional probabilityKolmogorov-Feller eqautionOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter PhysicsPoisson distributionPath Integral Solutionsymbols.namesakeNuclear Energy and EngineeringPath integral formulationsymbolsFokker–Planck equationSettore ICAR/08 - Scienza Delle CostruzioniChapman–Kolmogorov equationCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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