Search results for "Statistica"

showing 10 items of 5969 documents

L\'{e}vy flights in inhomogeneous environments

2009

We study the long time asymptotics of probability density functions (pdfs) of L\'{e}vy flights in different confining potentials. For that we use two models: Langevin - driven and (L\'{e}vy - Schr\"odinger) semigroup - driven dynamics. It turns out that the semigroup modeling provides much stronger confining properties than the standard Langevin one. Since contractive semigroups set a link between L\'{e}vy flights and fractional (pseudo-differential) Hamiltonian systems, we can use the latter to control the long - time asymptotics of the pertinent pdfs. To do so, we need to impose suitable restrictions upon the Hamiltonian and its potential. That provides verifiable criteria for an invarian…

Statistics and ProbabilityPolynomialStochastic processSemigroupMathematical analysisMotion (geometry)Cauchy distributionProbability density functionCondensed Matter PhysicsVisualizationLévy flightStatistical physicsCondensed Matter - Statistical MechanicsMathematical PhysicsMathematics
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Ancestral processes in population genetics-the coalescent.

2000

A special stochastic process, called the coalescent, is of fundamental interest in population genetics. For a large class of population models this process is the appropriate tool to analyse the ancestral structure of a sample of n individuals or genes, if the total number of individuals in the population is sufficiently large. A corresponding convergence theorem was first proved by Kingman in 1982 for the Wright-Fisher model and the Moran model. Generalizations to a large class of exchangeable population models and to models with overlying mutation processes followed shortly later. One speaks of the "robustness of the coalescent, as this process appears in many models as the total populati…

Statistics and ProbabilityPopulationIdealised populationPopulation DynamicsWatterson estimatorPopulation geneticsBiologyGeneral Biochemistry Genetics and Molecular BiologyCoalescent theoryEconometricsQuantitative Biology::Populations and EvolutionAnimalsSelection GeneticeducationRecombination Geneticeducation.field_of_studyStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyModels GeneticStochastic processApplied MathematicsRobustness (evolution)General MedicinePopulation modelEvolutionary biologyModeling and SimulationMutationGeneral Agricultural and Biological SciencesJournal of theoretical biology
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Statistical inference as a decision problem: the choice of sample size

1997

Statistics and ProbabilityPredictive inferenceSampling distributionFrequentist inferenceSample size determinationStatisticsEconometricsFiducial inferenceStatistical inferenceInfluence diagramStatistical theoryMathematicsJournal of the Royal Statistical Society: Series D (The Statistician)
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Estimating regression models with unknown break-points.

2003

This paper deals with fitting piecewise terms in regression models where one or more break-points are true parameters of the model. For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem. As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed. Differences between the other procedures available are shown and relative merits discussed. Simulations and two examples are presented to illustrate the method.

Statistics and ProbabilityProper linear modelMultivariate adaptive regression splinesModels StatisticalEpidemiologyLinear modelDustMarginal modelSurvival AnalysisLinear predictor functionStatisticsLinear regressionChronic DiseaseApplied mathematicsHeart TransplantationHumansRegression AnalysisSegmented regressionBronchitisRegression diagnosticMathematicsStatistics in medicine
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Global stability of protein folding from an empirical free energy function

2013

The principles governing protein folding stand as one of the biggest challenges of Biophysics. Modeling the global stability of proteins and predicting their tertiary structure are hard tasks, due in part to the variety and large number of forces involved and the difficulties to describe them with sufficient accuracy. We have developed a fast, physics-based empirical potential, intended to be used in global structure prediction methods. This model considers four main contributions: Two entropic factors, the hydrophobic effect and configurational entropy, and two terms resulting from a decomposition of close-packing interactions, namely the balance of the dispersive interactions of folded an…

Statistics and ProbabilityProtein FoldingEmpirical potential for proteinsConfiguration entropyPROTCALBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyForce field (chemistry)Protein structureStatistical physicsDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalFoldXGeneral Immunology and MicrobiologyApplied MathematicsProteinsReproducibility of ResultsGeneral MedicineProtein tertiary structureProtein Structure TertiaryPrediction of protein folding stabilityModeling and SimulationLinear ModelsThermodynamicsProtein foldingGeneral Agricultural and Biological SciencesStatistical potentialAlgorithmsSoftwareTest dataJournal of Theoretical Biology
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Generalized Riesz systems and orthonormal sequences in Krein spaces

2018

We analyze special classes of bi-orthogonal sets of vectors in Hilbert and in Krein spaces, and their relations with generalized Riesz systems. In this way, the notion of the first/second type sequences is introduced and studied. We also discuss their relevance in some concrete quantum mechanical system driven by manifestly non self-adjoint Hamiltonians.

Statistics and ProbabilityPure mathematics46N50 81Q12FOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Mathematics::Spectral TheoryRiesz basisBiorthogonal sequenceModeling and SimulationPT -symmetric HamiltonianKrein spaceOrthonormal basisSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Implementability of Liouville Evolution, Koopman and Banach-Lamperti Theorems in Classical and Quantum Dynamics

2002

We extend the concept of implementability of semigroups of evolution operators associated with dynamical systems to quantum case. We show that such an extension can be properly formulated in terms of Jordan morphisms and isometries on non-commutative Lp spaces. We focus our attention on a non-commutative analog of the Banach-Lamperti theorem.

Statistics and ProbabilityPure mathematics82C10; 46L55Dynamical systems theory82C1046L55Quantum dynamicsComplex systemFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Extension (predicate logic)MorphismLp spaceFocus (optics)QuantumMathematical PhysicsMathematicsOpen Systems & Information Dynamics
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Gabor-like systems in ${cal L}^2({bf R}^d)$ and extensions to wavelets

2008

In this paper we show how to construct a certain class of orthonormal bases in starting from one or more Gabor orthonormal bases in . Each such basis can be obtained acting on a single function with a set of unitary operators which operate as translation and modulation operators in suitable variables. The same procedure is also extended to frames and wavelets. Many examples are discussed.

Statistics and ProbabilityPure mathematicsClass (set theory)Basis (linear algebra)General Physics and AstronomyStatistical and Nonlinear PhysicsFunction (mathematics)Translation (geometry)Unitary stateSet (abstract data type)WaveletModeling and SimulationOrthonormal basisGabor framesSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematics
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Non-self-adjoint Hamiltonians with complex eigenvalues

2016

Motivated by what one observes dealing with PT-symmetric quantum mechanics, we discuss what happens if a physical system is driven by a diagonalizable Hamiltonian with not all real eigenvalues. In particular, we consider the functional structure related to systems living in finite-dimensional Hilbert spaces, and we show that certain intertwining relations can be deduced also in this case if we introduce suitable antilinear operators. We also analyze a simple model, computing the transition probabilities in the broken and in the unbroken regime.

Statistics and ProbabilityPure mathematicsDiagonalizable matrixPhysical systemFOS: Physical sciencesGeneral Physics and Astronomyintertwining relation01 natural sciencesModeling and simulationPhysics and Astronomy (all)symbols.namesakePT-quantum mechanic0103 physical sciencesMathematical Physic010306 general physicsSettore MAT/07 - Fisica Matematicaantilinear operatorMathematical PhysicsEigenvalues and eigenvectorsMathematicsQuantum Physics010308 nuclear & particles physicsHilbert spaceStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Modeling and SimulationsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Self-adjoint operatorStatistical and Nonlinear PhysicJournal of Physics A: Mathematical and Theoretical
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Explicit near-symplectic mappings of Hamiltonian systems with Lie-generating functions

2008

The construction of explicit near-symplectic mappings for generic Hamiltonian systems with the utilization of Lie transforms is presented. The method is mathematically rigorous and systematically extended to high order with respect to a perturbation parameter. The explicit mappings are compared to their implicit counterparts, which use mixed-variable generating functions, in terms of conservation of invariant quantities, calculation speed and accurate construction of Poincare surfaces of sections. The comparative study considers a wide range of parameters and initial conditions for which different time scales are involved due to large differences between internal and external frequencies of…

Statistics and ProbabilityPure mathematicsGenerating functionGeneral Physics and AstronomyPerturbation (astronomy)Statistical and Nonlinear PhysicsInvariant (physics)TopologyHamiltonian systemsymbols.namesakeModeling and SimulationPoincaré conjecturesymbolsMathematical PhysicsSymplectic geometrySymplectic manifoldPoincaré mapMathematicsJournal of Physics A: Mathematical and Theoretical
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