Search results for "Estimates"

showing 10 items of 72 documents

Quantifying treatment effects when flexibly modeling individual change in a nonlinear mixed effects model

2021

A core task in analyzing randomized clinical trials based on longitudinal data is to find the best way to describe the change over time for each treatment arm. We review the implementation and estimation of a flexible piecewise Hierarchical Linear Model (HLM) to model change over time. The flexible piecewise HLM consists of two phases with differing rates of change. The breakpoints between these two phases, as well as the rates of change per phase are allowed to vary between treatment groups as well as individuals. While this approach may provide better model fit, how to quantify treatment diff erences over the longitudinal period is not clear. In this paper, we develop a procedure for summ…

Settore SECS-S/01 - StatisticaArea under the curve (AUC) breakpoint Hierarchical Linear model random eff ects subject-speci fic estimates.
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Commutators, C0-semigroups and resolvent estimates

2004

Abstract We study the existence and the continuity properties of the boundary values on the real axis of the resolvent of a self-adjoint operator H in the framework of the conjugate operator method initiated by Mourre. We allow the conjugate operator A to be the generator of a C 0 -semigroup (finer estimates require A to be maximal symmetric) and we consider situations where the first commutator [ H ,i A ] is not comparable to H . The applications include the spectral theory of zero mass quantum field models.

Spectral theoryC0- semigroupsSemigroupOperator (physics)Mathematical analysisSpectrum (functional analysis)Commutator (electric)Resolvent formalismMourre estimatelaw.inventionResolvent estimateslawHermitian adjointPositive commutatorsBoundary values of resolvent familiesConjugate operatorVirial theoremAnalysisMathematicsResolventJournal of Functional Analysis
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Weighted bounded mean oscillation applied to backward stochastic differential equations

2015

Abstract We deduce conditional L p -estimates for the variation of a solution of a BSDE. Both quadratic and sub-quadratic types of BSDEs are considered, and using the theory of weighted bounded mean oscillation we deduce new tail estimates for the solution ( Y , Z ) on subintervals of [ 0 , T ] . Some new results for the decoupling technique introduced in Geiss and Ylinen (2019) are obtained as well and some applications of the tail estimates are given.

Statistics and ProbabilityApplied MathematicsProbability (math.PR)010102 general mathematicsMathematical analysis01 natural sciencesBSDEsBounded mean oscillationdecoupling010104 statistics & probabilityStochastic differential equationvärähtelytQuadratic equationJohn-Nirenberg theoremtail estimatesModeling and Simulation60H10 60G99FOS: MathematicsDecoupling (probability)weighted bounded mean oscillation0101 mathematicsdifferentiaaliyhtälötMathematics - Probabilitystokastiset prosessitMathematicsStochastic Processes and their Applications
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Sharp dimension free quantitative estimates for the Gaussian isoperimetric inequality

2017

We provide a full quantitative version of the Gaussian isoperimetric inequality: the difference between the Gaussian perimeter of a given set and a half-space with the same mass controls the gap between the norms of the corresponding barycenters. In particular, it controls the Gaussian measure of the symmetric difference between the set and the half-space oriented so to have the barycenter in the same direction of the set. Our estimate is independent of the dimension, sharp on the decay rate with respect to the gap and with optimal dependence on the mass.

Statistics and ProbabilityGaussianGaussian isoperimetric inequality01 natural sciencesPerimeterSet (abstract data type)symbols.namesakeMathematics - Analysis of PDEsDimension (vector space)quantitative isoperimetric inequalityFOS: MathematicsMathematics::Metric Geometry0101 mathematicsSymmetric differenceGaussian isoperimetric inequalityQuantitative estimatesMathematics010102 general mathematicsMathematical analysisProbability (math.PR)49Q20Gaussian measure010101 applied mathematicssymbolsHigh Energy Physics::Experiment60E15Statistics Probability and UncertaintyMathematics - ProbabilityAnalysis of PDEs (math.AP)
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Global properties of generalized Ornstein–Uhlenbeck operators on Lp(RN,RN) with more than linearly growing coefficients

2009

AbstractWe show that the realization Ap of the elliptic operator Au=div(Q∇u)+F⋅∇u+Vu in Lp(RN,RN), p∈[1,+∞[, generates a strongly continuous semigroup, and we determine its domain D(Ap)={u∈W2,p(RN,RN):F⋅∇u+Vu∈Lp(RN,RN)} if 1<p<+∞. The diffusion coefficients Q=(qij) are uniformly elliptic and bounded together with their first-order derivatives, the drift coefficients F can grow as |x|log|x|, and V can grow logarithmically. Our approach relies on the Monniaux–Prüss theorem on the sum of noncommuting operators. We also prove Lp–Lq estimates and, under somewhat stronger assumptions, we establish pointwise gradient estimates and smoothing of the semigroup in the spaces Wα,p(RN,RN), α∈[0,1], wher…

Systems of elliptic PDEsUnbounded coefficientsLp-Lq– estimates Gradient Lp-estimatesStrongly continuous semigroupsLp–Lq estimatesGradient Lp-estimatesSystems of elliptic PDEs Unbounded coefficients Strongly continuous semigroups Lp-Lq– estimates Gradient Lp-estimatesJournal of Mathematical Analysis and Applications
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EPPS16 - First nuclear PDFs to include LHC data

2017

We present results of our recent EPPS16 global analysis of NLO nuclear parton distribution functions (nPDFs). For the first time, dijet and heavy gauge boson production data from LHC proton-lead collisions have been included in a global fit. Especially, the CMS dijets play an important role in constraining the nuclear effects in gluon distributions. With the inclusion of also neutrino-nucleus deeply-inelastic scattering and pion-nucleus Drell-Yan data and a proper treatment of isospin-corrected data, we were able to free the flavor dependence of the valence and sea quark nuclear modifications for the first time. This gives us less biased, yet larger, flavor by flavor uncertainty estimates. …

Uncertainty estimates Uncertainty analysisHigh Energy Physics::LatticeLead collisionsNuclear TheoryHigh Energy Physics::PhenomenologyFOS: Physical sciencesNuclear parton distribution functions114 Physical sciencesHigh Energy Physics - ExperimentHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Production dataHigh Energy Physics::ExperimentNuclear modificationNuclear ExperimentNuclear effectsBosonsDistribution functionsGlobal analysisInelastic scattering Deeply inelastic scatterings
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Some applications of the Chambers isoperimetric inequality

2022

In this paper, using the Chambers isoperimetric inequality, we introduce the notion of weighted rearrangement of a function associated to the measure $f dx$, where $f(x)=e^{g(|x|)}$ for $x \in \mathbb{R}^n}$, with $g$ smooth, convex and even. Then we give some of its applications to variational inequalities and PDEs via weighted symmetrization.

Weighted isoperimetric inequalities rearrangements symmetrization sharp estimates eigenvaluesSettore MAT/05 - Analisi Matematica
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Exact constants in Poincaré type inequalities for functions with zero mean boundary traces

2014

In this paper, we investigate Poincare type inequalities for the functions having zero mean value on the whole boundary of a Lipschitz domain or on a measurable part of the boundary. We find exact and easily computable constants in these inequalities for some basic domains (rectangles, cubes, and right triangles) and discuss applications of the inequalities to quantitative analysis of partial differential equations. Copyright © 2014 John Wiley & Sons, Ltd.

Zero meanPartial differential equationeigenvalue problemsGeneral MathematicsMathematical analysista111General EngineeringBoundary (topology)Value (computer science)Type (model theory)Physics::History of PhysicsPoincare type inequalitiessymbols.namesakeLipschitz domainerror estimatesPoincaré conjecturesymbolsfunctional inequalitiesMathematicsMathematical Methods in the Applied Sciences
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On a posteriori error bounds for approximations of the generalized Stokes problem generated by the Uzawa algorithm

2012

In this paper, we derive computable a posteriori error bounds for approximations computed by the Uzawa algorithm for the generalized Stokes problem. We show that for each Uzawa iteration both the velocity error and the pressure error are bounded from above by a constant multiplied by the L2-norm of the divergence of the velocity. The derivation of the estimates essentially uses a posteriori estimates of the functional type for the Stokes problem. peerReviewed

a posteriori error estimatesNumerical AnalysisUzawa-algoritmiApproximations of πa posteriori virhe-estimaatitUzawa algorithmgeneralized Stokes problemModeling and SimulationCalculusStokes problemA priori and a posterioriApplied mathematicsyleistetty Stokesin yhtälöMathematics
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Analysis of errors caused by incomplete knowledge of material data in mathematical models of elastic media

2011

a posteriori error estimatesosittaisdifferentiaaliyhtälötDifferential equations Elliptictarkkuusfunctional deviation estimatesapproximation errorindeterminate datalinear elasticityDifferential equations PartialPDEepätarkkuuspartial differential equationsnumeerinen analyysimatemaattiset mallituncertaintytietojenkäsittelylaskentamenetelmät
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