Search results for "Stability."

showing 10 items of 3015 documents

mRNAStab—a web application for mRNA stability analysis

2013

Abstract Eukaryotic gene expression is regulated both at the transcription and the mRNA degradation levels. The implementation of functional genomics methods that allow the simultaneous measurement of transcription (TR) and degradation (DR) rates for thousands of mRNAs is a huge improvement in this field. One of the best established methods for mRNA stability determination is genomic run-on (GRO). It allows the measurement of DR, TR and mRNA levels during cell dynamic responses. Here, we offer a software package that provides improved algorithms for determination of mRNA stability during dynamic GRO experiments. Availability and implementation: The program mRNAStab is freely accessible at h…

Statistics and ProbabilityComputer scienceRNA StabilityCellComputational biologyBioinformaticsBiochemistryTranscription (biology)Gene expressionMRNA degradationmedicineHumansWeb applicationRNA MessengerMolecular BiologyInternetMessenger RNAbusiness.industryRNAGenomicsComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsMrna levelbusinessFunctional genomicsAlgorithmsSoftwareBioinformatics
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Comments on “Unobservable Selection and Coefficient Stability

2019

Abstract–: We establish a link between the approaches proposed by Oster (2019) and Pei, Pischke, and Schwandt (2019) which contribute to the development of inferential procedures for causal effects in the challenging and empirically relevant situation where the unknown data-generation process is not included in the set of models considered by the investigator. We use the general misspecification framework recently proposed by De Luca, Magnus, and Peracchi (2018) to analyze and understand the implications of the restrictions imposed by the two approaches.

Statistics and ProbabilityEconomics and EconometricEconomics and EconometricsTestingSettore SECS-P/05 - EconometriaOLSInconsistency01 natural sciencesUnobservable010104 statistics & probabilityBiaStability theory0502 economics and businessInconsistent Statistics and ProbabilityEconometrics0101 mathematicsSelection (genetic algorithm)050205 econometrics 05 social sciencesCausal effectConfoundingMean squared error (MSE)MisspecificationStatistics Probability and UncertaintyPsychologySocial Sciences (miscellaneous)Journal of Business and Economic Statistics
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Stochastic resonance and noise delayed extinction in a model of two competing species

2003

We study the role of the noise in the dynamics of two competing species. We consider generalized Lotka-Volterra equations in the presence of a multiplicative noise, which models the interaction between the species and the environment. The interaction parameter between the species is a random process which obeys a stochastic differential equation with a generalized bistable potential in the presence of a periodic driving term, which accounts for the environment temperature variation. We find noise-induced periodic oscillations of the species concentrations and stochastic resonance phenomenon. We find also a nonmonotonic behavior of the mean extinction time of one of the two competing species…

Statistics and ProbabilityExtinctionSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)BistabilityStochastic resonanceStochastic processPopulations and Evolution (q-bio.PE)FOS: Physical sciencesStatistical mechanicStatistical and Nonlinear PhysicsPopulation dynamicNoise (electronics)Multiplicative noiseStochastic partial differential equationStochastic differential equationControl theoryFOS: Biological sciencesQuantitative Biology::Populations and EvolutionStatistical physicsNoise-induced effects.Quantitative Biology - Populations and EvolutionCondensed Matter - Statistical MechanicsMathematics
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Can the Adaptive Metropolis Algorithm Collapse Without the Covariance Lower Bound?

2011

The Adaptive Metropolis (AM) algorithm is based on the symmetric random-walk Metropolis algorithm. The proposal distribution has the following time-dependent covariance matrix at step $n+1$ \[ S_n = Cov(X_1,...,X_n) + \epsilon I, \] that is, the sample covariance matrix of the history of the chain plus a (small) constant $\epsilon>0$ multiple of the identity matrix $I$. The lower bound on the eigenvalues of $S_n$ induced by the factor $\epsilon I$ is theoretically convenient, but practically cumbersome, as a good value for the parameter $\epsilon$ may not always be easy to choose. This article considers variants of the AM algorithm that do not explicitly bound the eigenvalues of $S_n$ away …

Statistics and ProbabilityFOS: Computer and information sciencesIdentity matrixMathematics - Statistics TheoryStatistics Theory (math.ST)Upper and lower boundsStatistics - Computation93E3593E15Combinatorics60J27Mathematics::ProbabilityLaw of large numbers65C40 60J27 93E15 93E35stochastic approximationFOS: MathematicsEigenvalues and eigenvectorsComputation (stat.CO)Metropolis algorithmMathematicsProbability (math.PR)Zero (complex analysis)CovariancestabilityUniform continuityBounded function65C40Statistics Probability and Uncertaintyadaptive Markov chain Monte CarloMathematics - Probability
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Cross-diffusion-induced subharmonic spatial resonances in a predator-prey system.

2018

In this paper we investigate the complex dynamics originated by a cross-diffusion-induced subharmonic destabilization of the fundamental subcritical Turing mode in a predator-prey reaction-diffusion system. The model we consider consists of a two-species Lotka-Volterra system with linear diffusion and a nonlinear cross-diffusion term in the predator equation. The taxis term in the search strategy of the predator is responsible for the onset of complex dynamics. In fact, our model does not exhibit any Hopf or wave instability, and on the basis of the linear analysis one should only expect stationary patterns; nevertheless, the presence of the nonlinear cross-diffusion term is able to induce …

Statistics and ProbabilityFood ChainTime FactorsChaoticSpatial Behavior01 natural sciencesInstabilityModels BiologicalSquare (algebra)010305 fluids & plasmasDiffusion0103 physical sciencesAnimalsDiffusion (business)010306 general physicsSettore MAT/07 - Fisica MatematicaPhysicsFourier AnalysisMathematical analysisResonanceCondensed Matter PhysicsNonlinear systemComplex dynamicsNonlinear DynamicsPredatory BehaviorHarmonicLinear ModelsStatistical and Nonlinear PhysicPhysical review. E
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Probabilistic characterization of nonlinear systems under α-stable white noise via complex fractional moments

2015

Abstract The probability density function of the response of a nonlinear system under external α -stable Levy white noise is ruled by the so called Fractional Fokker–Planck equation. In such equation the diffusive term is the Riesz fractional derivative of the probability density function of the response. The paper deals with the solution of such equation by using the complex fractional moments. The analysis is performed in terms of probability density for a linear and a non-linear half oscillator forced by Levy white noise with different stability indexes α . Numerical results are reported for a wide range of non-linearity of the mechanical system and stability index of the Levy white nois…

Statistics and ProbabilityFractional Fokker-Planck equationα-stable white noiseMathematical analysisProbabilistic logicStatistical and Nonlinear PhysicsProbability density functionCondensed Matter PhysicWhite noiseComplex fractional momentStability (probability)Fractional calculusMechanical systemNonlinear systemNonlinear systemRange (statistics)Complex fractional moments; Fractional Fokker-Planck equation; Nonlinear systems; α-stable white noise; Condensed Matter Physics; Statistics and ProbabilityMathematicsPhysica A: Statistical Mechanics and its Applications
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From deterministic cellular automata to coupled map lattices

2016

A general mathematical method is presented for the systematic construction of coupled map lattices (CMLs) out of deterministic cellular automata (CAs). The entire CA rule space is addressed by means of a universal map for CAs that we have recently derived and that is not dependent on any freely adjustable parameters. The CMLs thus constructed are termed real-valued deterministic cellular automata (RDCA) and encompass all deterministic CAs in rule space in the asymptotic limit $\kappa \to 0$ of a continuous parameter $\kappa$. Thus, RDCAs generalize CAs in such a way that they constitute CMLs when $\kappa$ is finite and nonvanishing. In the limit $\kappa \to \infty$ all RDCAs are shown to ex…

Statistics and ProbabilityGeneral Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Space (mathematics)01 natural sciences010305 fluids & plasmasLinear stability analysis0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsMathematical PhysicsBifurcationPhysicsCellular Automata and Lattice Gases (nlin.CG)Quiescent stateStatistical and Nonlinear PhysicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsHomogeneousModeling and SimulationContinuous parameterChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Stability of a stochastic SIR system

2005

Abstract We propose a stochastic SIR model with or without distributed time delay and we study the stability of disease-free equilibrium. The numerical simulation of the stochastic SIR model shows that the introduction of noise modifies the threshold of system for an epidemic to occur and the threshold stochastic value is found.

Statistics and ProbabilityLyapunov functionStochastic stabilityComputer simulationStochastic processComputer Science::Social and Information NetworksCondensed Matter PhysicsStability (probability)Noise (electronics)SIR model Lyapunov function Stochastic process Stochastic stabilitysymbols.namesakeControl theorysymbolsQuantitative Biology::Populations and EvolutionApplied mathematicsEpidemic modelMathematicsPhysica A: Statistical Mechanics and its Applications
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Testing equality of reliability and stability with simple linear constraints in multi-wave, multi-variable models

1998

Data from a longitudinal study on school achievement were used to develop new methods for analysing reliability of measurements and stability of behaviour over a long time interval. The proposed method of analysis makes it possible to test hypotheses about equality constraints on reliability and stability. It is known that the use of negative variances for imaginary latent variables with equality constraints between structural parameters produces standardized variances for endogenous latent variables and quality constraints for coefficients of stability. Reparameterization of random errors in measurement models allows equality constraints to be set for coefficients of cross-sectional and of…

Statistics and ProbabilityMathematical optimizationSimplexGeneral MedicineInterval (mathematics)Latent variableStability (probability)Multi variableSet (abstract data type)Arts and Humanities (miscellaneous)Simple (abstract algebra)General PsychologyReliability (statistics)MathematicsBritish Journal of Mathematical and Statistical Psychology
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On stability issues in deriving multivariable regression models

2014

In many areas of science where empirical data are analyzed, a task is often to identify important variables with influence on an outcome. Most often this is done by using a variable selection strategy in the context of a multivariable regression model. Using a study on ozone effects in children (n = 496, 24 covariates), we will discuss aspects relevant for deriving a suitable model. With an emphasis on model stability, we will explore and illustrate differences between predictive models and explanatory models, the key role of stopping criteria, and the value of bootstrap resampling (with and without replacement). Bootstrap resampling will be used to assess variable selection stability, to d…

Statistics and ProbabilityMultivariable calculusStability (learning theory)Context (language use)Regression analysisFeature selectionGeneral MedicineVariance (accounting)StatisticsCovariateEconometricsStatistics Probability and UncertaintySelection (genetic algorithm)MathematicsBiometrical Journal
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