Search results for "PROBA"

showing 10 items of 3964 documents

Three-page encoding and complexity theory for spatial graphs

2004

We construct a series of finitely presented semigroups. The centers of these semigroups encode uniquely up to rigid ambient isotopy in 3-space all non-oriented spatial graphs. This encoding is obtained by using three-page embeddings of graphs into the product of the line with the cone on three points. By exploiting three-page embeddings we introduce the notion of the three-page complexity for spatial graphs. This complexity satisfies the properties of finiteness and additivity under natural operations.

Discrete mathematics[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]Algebra and Number TheoryDegree (graph theory)Semigroup010102 general mathematicsGeometric topologyGeometric Topology (math.GT)01 natural sciences57M25 57M15 57M05Combinatorics010104 statistics & probabilityMathematics - Geometric TopologyCone (topology)Additive functionEncoding (memory)[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: Mathematics0101 mathematicsUnit (ring theory)Ambient isotopyMathematics[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]MathematicsofComputing_DISCRETEMATHEMATICS
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On the empirical spectral distribution for certain models related to sample covariance matrices with different correlations

2021

Given [Formula: see text], we study two classes of large random matrices of the form [Formula: see text] where for every [Formula: see text], [Formula: see text] are iid copies of a random variable [Formula: see text], [Formula: see text], [Formula: see text] are two (not necessarily independent) sets of independent random vectors having different covariance matrices and generating well concentrated bilinear forms. We consider two main asymptotic regimes as [Formula: see text]: a standard one, where [Formula: see text], and a slightly modified one, where [Formula: see text] and [Formula: see text] while [Formula: see text] for some [Formula: see text]. Assuming that vectors [Formula: see t…

Statistics and ProbabilityPhysicsAlgebra and Number TheorySpectral power distributionComputer Science::Information RetrievalProbability (math.PR)Astrophysics::Instrumentation and Methods for AstrophysicsBlock (permutation group theory)Marchenko–Pastur lawComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Bilinear form60F05 60B20 47N30Sample mean and sample covarianceCombinatoricsConvergence of random variablesFOS: Mathematicssample covariance matricesComputer Science::General LiteratureDiscrete Mathematics and CombinatoricsRandom matriceshigh dimensional statisticsStatistics Probability and UncertaintyRandom matrixRandom variableMathematics - ProbabilityRandom Matrices: Theory and Applications
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Homozygous familial hypobetalipoproteinemia: two novel mutations in the splicing sites of apolipoprotein B gene and review of the literature.

2015

Objective: Familial hypobetalipoproteinemia (FHBL) is autosomal codominant disorder of lipoprotein metabolism characterized by low plasma levels of total cholesterol (TC), low-density lipoproteincholesterol (LDL-C) and apolipoprotein B (apoB) below the 5 th percentile of the distribution in the population. Patients with the clinical diagnosis of homozygous FHBL (Ho-FHBL) are extremely rare and few patients have been characterized at the molecular level. Here we report the medical history and the molecular characterization of one paediatric patient with clinical features of Ho-FHBL. Methods: A one month old infant with failure to thrive, severe hypocholesterolemia and acanthocytosis was clin…

ProbandAdultMaleAcanthocytosiSettore MED/09 - Medicina InternaApolipoprotein BPopulationDNA Mutational AnalysisBiologyHypobetalipoproteinemiasExonHumanseducationGeneGeneticseducation.field_of_studyHomozygoteIntronInfantCholesterol LDLAbetalipoproteinemiaIntronsAlternative SplicingHomozygous familial hypobetalipoproteinemiaCholesterolRNA splicingApolipoprotein B-100Mutationbiology.proteinlipids (amino acids peptides and proteins)FemaleCardiology and Cardiovascular MedicineApolipoprotein BMinigeneAtherosclerosis
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Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer

2019

AbstractA spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal points, that can be in a binary state: either in ‘cancer state’ or in ‘non-cancer state’. The model assigns probabilities for the non-reversible transition from ‘non-cancer’ state to the ‘cancer state’ that depend on the states of the neighbouring nodes. The likelihood of transition further depends on the life burden intensity of the UV-rays that the skin is exposed to. The probabilistic nature of the process and the uncertainty in the input data is assessed by the use of Monte Carlo simulations. A good fit between experiments on mi…

65C05Skin NeoplasmsComputer scienceQuantitative Biology::Tissues and OrgansMarkovin ketjut0206 medical engineeringMonte Carlo methodPhysics::Medical PhysicsBinary number02 engineering and technologyArticleihosyöpä03 medical and health sciencesMicemedicineAnimalsHumansComputer SimulationStatistical physicsUncertainty quantification60J20stokastiset prosessit030304 developmental biologyProbability0303 health sciencesMarkov chainApplied MathematicsProbabilistic logicUncertaintyState (functional analysis)medicine.disease020601 biomedical engineeringAgricultural and Biological Sciences (miscellaneous)Markov ChainsCardinal pointModeling and Simulation65C40Disease Progressionmatemaattiset mallitSkin cancerMonte Carlo MethodJournal of Mathematical Biology
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Kernel estimation and display of a five-dimensional conditional intensity function

2018

The aim of this paper is to find a convenient and effective method of displaying some second order properties in a neighbourhood of a selected point of the process. The used techniques are based on very general high-dimensional nonparametric smoothing developed to define a more gen- eral version of the conditional intensity function introduced in earlier earthquake studies by Vere-Jones (1978). 1976) is commonly used for such a purpose in discussing the cumulative behavior of interpoint distances about an initial point. It is defined as the expected number of events falling within a given distance of the initial event, divided by the overall density (rate in 2-dimensions) of the process, sa…

Kernel density estimationlcsh:QC801-809Process (computing)Neighbourhood (graph theory)Kernel intensity estimator seismic activity multi-demensional point processExpected valuelcsh:QC1-999lcsh:Geophysics. Cosmic physicsStatisticsOrder (group theory)Effective methodPoint (geometry)lcsh:QSettore SECS-S/01 - Statisticalcsh:Sciencelcsh:PhysicsEvent (probability theory)Mathematics
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Three beta-decaying states in 128In and 130In resolved for the first time using Penning-trap techniques

2020

Isomeric states in 128In and 130In have been studied with the JYFLTRAP Penning trap at the IGISOL facility. By employing state-of-the-art ion manipulation techniques, three different beta-decaying states in 128In and 130In have been separated and their masses measured. JYFLTRAP was also used to select the ions of interest for identification at a post-trap decay spectroscopy station. A new beta-decaying high-spin isomer feeding the isomer in 128Sn has been discovered in 128In at 1797.6(20) keV. Shell-model calculations employing a CD-Bonn potential re-normalized with the perturbative G-matrix approach suggest this new isomer to be a 16⁺ spin-trap isomer. In 130In, the lowest-lying (10⁻) isom…

Nuclear and High Energy PhysicsPenning trapAstronomy & Astrophysics01 natural sciencesIonPhysics Particles & Fieldsbeta-decay spectroscopyIsomersShell model0103 physical sciencesPhysics::Atomic and Molecular ClustersNuclear Experiment010306 general physicsSpectroscopyCouplingPhysicsScience & TechnologyNUCLEI010308 nuclear & particles physicsPhysicsPRECISION MASS-SPECTROMETRYNuclear shell modelR-PROCESSshell modelpenning trapRAMSEY METHODPenning traplcsh:QC1-999Physics NuclearExcited stateBeta (plasma physics)Physical SciencesSHELL-MODELTRANSITION-PROBABILITIESisomersAtomic physicsBeta-decay spectroscopylcsh:PhysicsIon cyclotron resonancePhysics Letters B
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Variance estimation and asymptotic confidence bands for the mean estimator of sampled functional data with high entropy unequal probability sampling …

2013

For fixed size sampling designs with high entropy it is well known that the variance of the Horvitz-Thompson estimator can be approximated by the H\'ajek formula. The interest of this asymptotic variance approximation is that it only involves the first order inclusion probabilities of the statistical units. We extend this variance formula when the variable under study is functional and we prove, under general conditions on the regularity of the individual trajectories and the sampling design, that we can get a uniformly convergent estimator of the variance function of the Horvitz-Thompson estimator of the mean function. Rates of convergence to the true variance function are given for the re…

Kullback-Leibler divergence[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]FOS: Mathematicscovariance functionrejective samplingMathematics - Statistics TheoryStatistics Theory (math.ST)finite populationHorvitz-Thompson estimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Hájek approximationunequal probability sampling without replacement[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]
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Damping in quantum love affairs

2011

In a series of recent papers we have used an operatorial technique to describe stock markets and, in a different context, {\em love affairs} and their time evolutions. The strategy proposed so far does not allow any dumping effect. In this short note we show how, within the same framework, a strictly non periodic or quasi-periodic effect can be introduced in the model by describing in some details a linear Alice-Bob love relation with damping.

Statistics and ProbabilityPhysics - Physics and SocietyQuantum PhysicsQuantum tools for classical systemsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Nonlinear Sciences - Chaotic DynamicsCondensed Matter PhysicsSocial systemDumpingEconomicsChaotic Dynamics (nlin.CD)Quantum Physics (quant-ph)Settore MAT/07 - Fisica MatematicaMathematical economicsQuantumStock (geology)Physica A: Statistical Mechanics and its Applications
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Neutrino anarchy and renormalization group evolution

2015

The observed pattern of neutrino mixing angles is in good agreement with the hypothesis of neutrino anarchy, which posits that Nature has chosen the entries of the leptonic mixing matrix at random. In this paper we investigate how stable this conclusion is under renormalization group effects. Working in the simplest type-I seesaw model and two variants of the inverse seesaw model we study how the statistical distributions of the neutrino mixing parameters evolve between the Grand Unification scale and the electroweak scale. Especially in the inverse seesaw case we find significant distortions: mixing angles tend to be smaller after RG running, and the Dirac CP phase tends to be closer to ze…

PhysicsParticle physics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyInverseFOS: Physical sciencesRenormalization group01 natural sciencesHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Seesaw molecular geometry0103 physical sciencesProbability distributionGrand Unified TheoryNeutrinoElectroweak scale010306 general physicsPhysical Review D
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Almost sure central limit theorems for random ratios and applications to lse for fractional ornstein–uhlenbeck processes

2012

We investigate an almost sure limit theorem (ASCLT) for sequences of random variables having the form of a ratio of two terms such that the numerator satisfies the ASCLT and the denominator is a positive term which converges almost surely to 1. This result leads to the ASCLT for least square estimators for Ornstein-Uhlenbeck process driven by fractional Brownian motion.

Mathematics::ProbabilityProbability (math.PR)FOS: MathematicsMathematics - Probability60F05 60G15 60H05 60H07
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