Search results for "value"

showing 10 items of 5321 documents

PValues for Composite Null Models

2000

Abstract The problem of investigating compatibility of an assumed model with the data is investigated in the situation when the assumed model has unknown parameters. The most frequently used measures of compatibility are p values, based on statistics T for which large values are deemed to indicate incompatibility of the data and the model. When the null model has unknown parameters, p values are not uniquely defined. The proposals for computing a p value in such a situation include the plug-in and similar p values on the frequentist side, and the predictive and posterior predictive p values on the Bayesian side. We propose two alternatives, the conditional predictive p value and the partial…

Statistics and ProbabilityModel checkingNull modelFrequentist inferenceStatisticsBayesian probabilityBayes factorp-valueStatistics Probability and UncertaintyMathematicsJournal of the American Statistical Association
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Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses

2005

In the analysis of gene expression by microarrays there are usually few subjects, but high-dimensional data. By means of techniques, such as the theory of spherical tests or with suitable permutation tests, it is possible to sort the endpoints or to give weights to them according to specific criteria determined by the data while controlling the multiple type I error rate. The procedures developed so far are based on a sequential analysis of weighted p-values (corresponding to the endpoints), including the most extreme situation of weighting leading to a complete order of p-values. When the data for the endpoints have approximately equal variances, these procedures show good power properties…

Statistics and ProbabilityModels StatisticalModels GeneticBiometricsGene Expression ProfilingWord error rateFamilywise error rateGeneral MedicineData-drivenWeightingData Interpretation StatisticalsortComputer Simulationp-valueStatistics Probability and UncertaintyAlgorithmAlgorithmsOligonucleotide Array Sequence AnalysisMathematicsType I and type II errorsBiometrical Journal
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A matrix-valued Bernoulli distribution

2006

AbstractMatrix-valued distributions are used in continuous multivariate analysis to model sample data matrices of continuous measurements; their use seems to be neglected for binary, or more generally categorical, data. In this paper we propose a matrix-valued Bernoulli distribution, based on the log-linear representation introduced by Cox [The analysis of multivariate binary data, Appl. Statist. 21 (1972) 113–120] for the Multivariate Bernoulli distribution with correlated components.

Statistics and ProbabilityNumerical AnalysisDISCRETEMODELSMatrix t-distributionMultivariate normal distributionMatrix-valued distributionsBINARYNormal-Wishart distributionBinomial distributionBernoulli distributionCategorical distributionStatisticsApplied mathematicsBernoulli processStatistics Probability and UncertaintyCorrelated multivariate binary responsesMathematicsMultivariate stable distributionMultivariate Bernoulli distributionJournal of Multivariate Analysis
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Asymptotics for pooled marginal slicing estimator based on SIRα approach

2005

Pooled marginal slicing (PMS) is a semiparametric method, based on sliced inverse regression (SIR) approach, for achieving dimension reduction in regression problems when the outcome variable y and the regressor x are both assumed to be multidimensional. In this paper, we consider the SIR"@a version (combining the SIR-I and SIR-II approaches) of the PMS estimator and we establish the asymptotic distribution of the estimated matrix of interest. Then the asymptotic normality of the eigenprojector on the estimated effective dimension reduction (e.d.r.) space is derived as well as the asymptotic distributions of each estimated e.d.r. direction and its corresponding eigenvalue.

Statistics and ProbabilityNumerical AnalysisDimensionality reductionStatisticsSliced inverse regressionAsymptotic distributionEstimatorRegression analysisStatistics Probability and UncertaintyMarginal distributionEffective dimensionEigenvalues and eigenvectorsMathematicsJournal of Multivariate Analysis
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A critical evaluation of the current “p-value controversy”

2017

This article has been triggered by the initiative launched in March 2016 by the Board of Directors of the American Statistical Association (ASA) to counteract the current p-value focus of statistical research practices that allegedly "have contributed to a reproducibility crisis in science." It is pointed out that in the very wide field of statistics applied to medicine, many of the problems raised in the ASA statement are not as severe as in the areas the authors may have primarily in mind, although several of them are well-known experts in biostatistics and epidemiology. This is mainly due to the fact that a large proportion of medical research falls under the realm of a well developed bo…

Statistics and ProbabilityOperations researchInferenceGeneral MedicineMedical research01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineEmpirical researchRealm030212 general & internal medicinep-value0101 mathematicsStatistics Probability and UncertaintyBiostatisticsPositive economicsNull hypothesisStatistical hypothesis testingMathematicsBiometrical Journal
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Optimal designs for a one-way layout with covariates

2000

Abstract For the general class of Φ q -criteria optimal designs are characterized which reflect the inherent symmetry in a one-way layout with covariates. In particular, the eigenvalues of the covariance matrices are related to those in suitably chosen marginal models depending on the underlying interaction structure.

Statistics and ProbabilityOptimal designMathematical optimizationClass (set theory)Applied MathematicsMathematicsofComputing_NUMERICALANALYSISMarginal modelCovarianceSymmetry (physics)CovariateStatistics Probability and UncertaintyAdditive modelEigenvalues and eigenvectorsMathematicsJournal of Statistical Planning and Inference
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A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR model.

2006

Abstract Motivation: The general-time-reversible (GTR) model is one of the most popular models of nucleotide substitution because it constitutes a good trade-off between mathematical tractability and biological reality. However, when it is applied for inferring evolutionary distances and/or instantaneous rate matrices, the GTR model seems more prone to inapplicability than more restrictive time-reversible models. Although it has been previously noted that the causes for intractability are caused by the impossibility of computing the logarithm of a matrix characterised by negative eigenvalues, the issue has not been investigated further. Results: Here, we formally characterize the mathematic…

Statistics and ProbabilityOptimization problemBase Pair MismatchBiochemistryLinkage DisequilibriumNonlinear programmingInterpretation (model theory)Evolution MolecularApplied mathematicsComputer SimulationDivergence (statistics)Molecular BiologyEigenvalues and eigenvectorsPhylogenyMathematicsSequenceModels GeneticSubstitution (logic)Chromosome MappingGenetic VariationSequence Analysis DNAComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsNonlinear DynamicsLogarithm of a matrixAlgorithmAlgorithmsBioinformatics (Oxford, England)
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The Concept of Duality and Applications to Markov Processes Arising in Neutral Population Genetics Models

1999

One possible and widely used definition of the duality of Markov processes employs functions H relating one process to another in a certain way. For given processes X and Y the space U of all such functions H, called the duality space of X and Y, is studied in this paper. The algebraic structure of U is closely related to the eigenvalues and eigenvectors of the transition matrices of X and Y. Often as for example in physics (interacting particle systems) and in biology (population genetics models) dual processes arise naturally by looking forwards and backwards in time. In particular, time-reversible Markov processes are self-dual. In this paper, results on the duality space are presented f…

Statistics and ProbabilityParticle systemPure mathematicsAlgebraic structurePopulation sizeMarkov processDuality (optimization)Space (mathematics)Dual (category theory)Combinatoricssymbols.namesakesymbolsQuantitative Biology::Populations and EvolutionEigenvalues and eigenvectorsMathematicsBernoulli
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Casimir-Polder forces, boundary conditions and fluctuations

2008

We review different aspects of the atom-atom and atom-wall Casimir-Polder forces. We first discuss the role of a boundary condition on the interatomic Casimir-Polder potential between two ground-state atoms, and give a physically transparent interpretation of the results in terms of vacuum fluctuations and image atomic dipoles. We then discuss the known atom-wall Casimir-Polder force for ground- and excited-state atoms, using a different method which is also suited for extension to time-dependent situations. Finally, we consider the fluctuation of the Casimir-Polder force between a ground-state atom and a conducting wall, and discuss possible observation of this force fluctuation.

Statistics and ProbabilityPhysicsCondensed Matter::Quantum GasesQuantum PhysicsGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsInteratomic potentialInterpretation (model theory)Condensed Matter - Other Condensed MatterCasimir effectDipoleClassical mechanicsModeling and SimulationExcited stateAtomPhysics::Atomic and Molecular ClustersCasimir-Polder forcesBoundary value problemPhysics::Atomic PhysicsQuantum Physics (quant-ph)Mathematical PhysicsQuantum fluctuationOther Condensed Matter (cond-mat.other)
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Complete spectrum and scalar products for the open spin-1/2 XXZ quantum chains with non-diagonal boundary terms

2013

We use the quantum separation of variable (SOV) method to construct the eigenstates of the open XXZ chain with the most general boundary terms. The eigenstates in the inhomogeneous case are constructed in terms of solutions of a system of quadratic equations. This SOV representation permits us to compute scalar products and can be used to calculate form factors and correlation functions.

Statistics and ProbabilityPhysicsHigh Energy Physics - TheoryStatistical Mechanics (cond-mat.stat-mech)Nonlinear Sciences - Exactly Solvable and Integrable Systems010308 nuclear & particles physicsDiagonalScalar (mathematics)Separation of variablesFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)01 natural sciencesQuadratic equationNonlinear Sciences::Exactly Solvable and Integrable SystemsHigh Energy Physics - Theory (hep-th)0103 physical sciencesExactly Solvable and Integrable Systems (nlin.SI)Statistics Probability and Uncertainty010306 general physicsQuantumEigenvalues and eigenvectorsMathematical PhysicsCondensed Matter - Statistical MechanicsMathematical physics
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