Search results for "Probability Distribution"

showing 10 items of 263 documents

Dynamic force spectroscopy: analysis of reversible bond-breaking dynamics

2008

The problem of diffusive bond-dissociation in a double well potential under application of an external force is scrutinized. We compute the probability distribution of rupture forces and present a detailed discussion of the influence of finite rebinding probabilities on the dynamic force spectrum. In particular, we focus on barrier crossing upon extension, i.e. under linearly increased load, and upon relaxation starting from completely separated bonds. For large loading rates the rupture force and the rejoining force depend on the loading rate in the expected manner determined by the shape of the potential. For small loading rates the mean forces obtained from pull and relax modes approach …

Quantitative Biology::BiomoleculesMaterials scienceCantileverBinding energyFOS: Physical sciencesGeneral Physics and AstronomyStiffnessDouble-well potentialMechanicsCondensed Matter - Soft Condensed MatterDissociation (chemistry)Quantitative Biology::Subcellular ProcessesForce dynamicsmedicineSoft Condensed Matter (cond-mat.soft)Probability distributionPhysical and Theoretical Chemistrymedicine.symptomEquilibrium constant
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Entropy, transverse entropy and partitions of unity

1994

AbstractThe topological entropy of a transformation is expressed in terms of partitions of unity. The transverse entropy of a flow tangential to a foliation is defined and expresed in a similar way. The geometric entropy of a foliation of a Riemannian manifold is compared with the transverse entropy of its geodesic flow.

CombinatoricsTransverse planeEntropy (classical thermodynamics)Applied MathematicsGeneral MathematicsConfiguration entropyMaximum entropy probability distributionMathematics::Differential GeometryStatistical physicsJoint quantum entropyMathematicsErgodic Theory and Dynamical Systems
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A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis.

2020

Many statistical models have been proposed to analyse small area disease data with the aim of describing spatial variation in disease risk. In this paper, we propose a Bayesian hierarchical model that simultaneously allows for risk estimation and cluster identification. Our model formulation assumes that there is an unknown number of risk classes and small areas are assigned to a risk class by means of independent allocation variables. Therefore, areas within each cluster are assumed to share a common risk but they may be geographically separated. The posterior distribution of the parameter representing the number of risk classes is estimated using a novel procedure that combines its prior …

Computer scienceEpidemiologyPathology and Laboratory Medicine01 natural sciencesGeographical locations010104 statistics & probabilityChickenpoxMathematical and Statistical TechniquesStatisticsMedicine and Health SciencesPublic and Occupational Health0303 health sciencesMultidisciplinarySimulation and ModelingQREuropeIdentification (information)Medical MicrobiologySmall-Area AnalysisViral PathogensVirusesPhysical SciencesMedicinePathogensAlgorithmsResearch ArticleHerpesvirusesScienceBayesian probabilityPosterior probabilityBayesian MethodDisease SurveillanceDisease clusterResearch and Analysis MethodsRisk AssessmentMicrobiologyVaricella Zoster Virus03 medical and health sciencesRisk classPrior probabilityCovariateBayesian hierarchical modelingHumansEuropean Union0101 mathematicsMicrobial Pathogens030304 developmental biologyBiology and life sciencesOrganismsStatistical modelBayes TheoremProbability TheoryProbability DistributionMarginal likelihoodConvolutionSpainPeople and placesDNA virusesMathematical FunctionsMathematicsPloS one
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Bartlett formalism generating functions and Z-transforms in fluctuation and noise theory

1983

Abstract “La theorie des fonctions generatrices s'adapte elle meme et avec la plus grande generalite aux questions des probabilite les plus difficiles.” (Laplace, 1812) “An important part of probability theory consists of the derivation of the probability distribution of the sum of n random variables, each of which obeys a given probability law, and the development of asymptotic forms of these distributions valid for increasing n. Probability generating functions owe their dominant position to the simplification they permit to both problems. Their employment to obtain the successive moments of a probability distribution and to solve the difference equations of probability theory is ancillar…

Generating FunctionPopulation DynamicBartlett formalismMoment-generating functionNoise TheoryConvolution of probability distributionsAlgebra of random variablesStochastic ProceNuclear Energy and EngineeringProbability theoryJoint probability distributionCalculusApplied mathematicsProbability distributionRandom variableSettore ING-IND/19 - Impianti NucleariLaw of the unconscious statisticianMathematicsAnnals of Nuclear Energy
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The interplay between cooperativity and diversity in model threshold ensembles

2014

The interplay between cooperativity and diversity is crucial for biological ensembles because single molecule experiments show a significant degree of heterogeneity and also for artificial nanostructures because of the high individual variability characteristic of nanoscale units. We study the cross-effects between cooperativity and diversity in model threshold ensembles composed of individually different units that show a cooperative behaviour. The units are modelled as statistical distributions of parameters (the individual threshold potentials here) characterized by central and width distribution values. The simulations show that the interplay between cooperativity and diversity results …

genetic structuresChemistrySystems biologySystems BiologyCell MembraneBiomedical EngineeringBiophysicsElectric ConductivityNanotechnologyCooperativityBioengineeringModels TheoreticalBiochemistryNanostructuresBiomaterialsProbability distributionComputer SimulationThreshold responseBiological systemResearch ArticlesBiotechnologyDiversity (business)
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Universal decay cascade model for dynamic quantum dot initialization.

2009

Dynamic quantum dots can be formed by time-dependent electrostatic potentials in nanoelectronic devices, such as gate- or surface-acoustic-wave-driven electron pumps. Ability to control the number of captured electrons with high precision is required for applications in fundamental metrology and quantum information processing. In this work we propose and quantify a scheme to initialize quantum dots with a controllable number of electrons. It is based on the stochastic decrease in the electron number of a shrinking dynamic quantum dot and is described by a nuclear decay cascade model with "isotopes" being different charge states of the dot. Unlike the natural nuclei, the artificial confineme…

PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsStrongly Correlated Electrons (cond-mat.str-el)FOS: Physical sciencesGeneral Physics and AstronomyInitializationCoulomb blockade02 engineering and technologyDecoupling (cosmology)Electron021001 nanoscience & nanotechnology01 natural sciencesComputational physicsCondensed Matter - Strongly Correlated ElectronsQuantum dotCascadeQuantum mechanicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesMaster equationProbability distribution010306 general physics0210 nano-technologyPhysical review letters
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Exact Closed-Form Expressions for the Distribution, the Level-Crossing Rate, and the Average Duration of Fades of the Capacity of OSTBC-MIMO Channels

2009

Article from the journal: IEEE Transactions on Vehicular Technology Official site: http://dx.doi.org/10.1109/TVT.2008.927038 This paper deals with some important statistical properties of the channel capacity of multiple-input-multiple-output (MIMO) systems with orthogonal space-time block code (OSTBC) transmission. We assume that all the subchannels are uncorrelated. For OSTBC-MIMO systems, exact closed-form expressions are derived for the probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average duration of fades (ADF) of the channel capacity. Furthermore, it will be shown that these exact closed-form expressions can be …

Block codeComputer Networks and CommunicationsCumulative distribution functionMIMOAerospace EngineeringProbability density functionChannel capacitysymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Automotive EngineeringsymbolsApplied mathematicsProbability distributionFadingElectrical and Electronic EngineeringGaussian processComputer Science::Information TheoryMathematicsIEEE Transactions on Vehicular Technology
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Bayesian joint models for longitudinal and survival data

2020

This paper takes a quick look at Bayesian joint models (BJM) for longitudinal and survival data. A general formulation for BJM is examined in terms of the sampling distribution of the longitudinal and survival processes, the conditional distribution of the random effects and the prior distribution. Next a basic BJM defined in terms of a mixed linear model and a Cox survival regression models is discussed and some extensions and other Bayesian topics are briefly outlined.

Methodology (stat.ME)FOS: Computer and information sciencesSampling distributionBayesian probabilityPrior probabilityStatisticsRegression analysisConditional probability distributionRandom effects modelJoint (geology)Statistics - MethodologyGeneralized linear mixed modelMathematics
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On the accuracy of three statistical softwares

2005

In this paper we compare the accuracy of three packages that are commonly used for statistical calculations: Excel of Microsoft, version XP Edition 2003, Statistica of Statsoft, version 6, and R, an open-source free software, available on the web, version 1.9.0. To assess the accuracy of each software in different statistical areas, we are going to use benchmarks expressly developed for this aim. The obtained results show a superiority of R in comparison with the other two softwares.

benchmark univariate statistics linear and nonlinear regression probability distributions
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Truncation, Information, and the Coefficient of Variation

1989

The Fisher information in a random sample from the truncated version of a distribution that belongs to an exponential family is compared with the Fisher information in a random sample from the un- truncated distribution. Conditions under which there is more information in the selection sample are given. Examples involving the normal and gamma distributions with various selection sets, and the zero-truncated binomial, Poisson, and negative binomial distributions are discussed. A property pertaining to the coefficient of variation of certain discrete distributions on the non-negative integers is introduced and shown to be satisfied by all binomial, Poisson, and negative binomial distributions.

symbols.namesakeExponential familyBinomial (polynomial)Negative binomial distributionsymbolsGamma distributionApplied mathematicsProbability distributionTruncation (statistics)Poisson distributionMathematicsTruncated distribution
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