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[PDF] Top 20 On the Rates of Convergence of Erlang's Model

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On the Rates of Convergence of Erlang's Model

On the Rates of Convergence of Erlang's Model

... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ... Voir le document complet

27

Convergence rates of the Heavy-Ball method for quasi-strongly convex optimization

Convergence rates of the Heavy-Ball method for quasi-strongly convex optimization

... refer the reader to Subsection 6.1 for the proof of the ...on the optimality of the proposed decay ...Consider the quadratic function F (x) = µ 2 kxk 2 , x ∈ R n ... Voir le document complet

38

Convergence rates of Gibbs measures with degenerate minimum

Convergence rates of Gibbs measures with degenerate minimum

... recall convergence properties of Gibbs measures and revisit the main theorem from [ AH10 ...expansion of f at its global minimum ; we properly state this problem in Section ...under the ... Voir le document complet

26

Convergence rates for density estimators of weakly dependent time series

Convergence rates for density estimators of weakly dependent time series

... satisfies the condition |Ee iuξ 0 | ≤ C(1 + |u|) −δ , for all u ∈ R and for some δ > 0 and C < ...Then, the densities f and f j,k exist for all j 6= k and they are uniformly bounded (see the ... Voir le document complet

25

Subgeometric rates of convergence of f-ergodic strong Markov processes

Subgeometric rates of convergence of f-ergodic strong Markov processes

... theory of continuous-time Markov processes has a large literature which is mainly devoted to the geometric case (also referred to as the exponential ...24]. Of particular importance in ... Voir le document complet

39

Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension

Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension

... and the error distribution is ordinary smooth, some results about integrated rates of convergence for the density (and its derivatives) can be found in [Fan93, Fan91a] but the ... Voir le document complet

20

Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables

Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables

... words, the subspace V n is a quasi-optimal subspace of dimension n for the approximation of random variables f µ (Z) for µ ∈ P in an L 2 norm ...number of samples of the ... Voir le document complet

30

Mathematical study of the betaplane model: Equatorial waves and convergence results

Mathematical study of the betaplane model: Equatorial waves and convergence results

... feature of the response of a rotating fluid to gravity is that it does not adjust to a state of rest, but rather to an equilibrium which contains more potential energy than does the ... Voir le document complet

106

Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density

Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density

... that the minimax rate can be otained (up to a log n term) for any β > 0 by choosing carefully the rate at which α increases with n, ...choice of α it is usual to consider a diffuse prior on α; so ... Voir le document complet

39

QUANTITATIVE RATES OF CONVERGENCE TO EQUILIBRIUM FOR THE DEGENERATE LINEAR BOLTZMANN EQUATION ON THE TORUS

QUANTITATIVE RATES OF CONVERGENCE TO EQUILIBRIUM FOR THE DEGENERATE LINEAR BOLTZMANN EQUATION ON THE TORUS

... ), the 1d Goldstein-Taylor type model, has been studied in [ 7 ] where the authors do get explicit rates via comparing this equation to a damped wave equation for which explicit rates ... Voir le document complet

23

Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparamatric estimation of the density

Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparamatric estimation of the density

... that the minimax rate can be otained (up to a log n term) for any β > 0 by choosing carefully the rate at which α increases with n, ...choice of α it is usual to consider a diffuse prior on α; so ... Voir le document complet

40

Quantitative rates of convergence to equilibrium for the degenreate linear Boltzman equation on the Torus

Quantitative rates of convergence to equilibrium for the degenreate linear Boltzman equation on the Torus

... ), the 1d Goldstein-Taylor type model, has been studied in [7] where the authors do get explicit rates via comparing this equation to a damped wave equation for which explicit rates ... Voir le document complet

22

Model identification and local linear convergence of coordinate descent

Model identification and local linear convergence of coordinate descent

... achieves model identification (e.g., support identification for the Lasso) after a finite number of iterations, provided the objective func- tion is regular ...and model identification ... Voir le document complet

27

Convergence rates for nonequilibrium Langevin dynamics

Convergence rates for nonequilibrium Langevin dynamics

... used model to describe the evolution of systems at constant tem- perature, ...temperature. The interaction with the heat bath is modeled by a dissipative term and a random fluctuating ... Voir le document complet

22

Rates of convergence for minimal distances in the central limit theorem under projective criteria

Rates of convergence for minimal distances in the central limit theorem under projective criteria

... class of BV -contracting ...to the class C defined in Broise (1996), Section ...to the Lebesgue measure is a bounded variation function, and such that µ ... Voir le document complet

37

On Convergence Rates of Empirical Bayes Procedures

On Convergence Rates of Empirical Bayes Procedures

... statistical model (P θ (n) , θ ∈ Θ ) over a sample space X (n) , together with a family of prior distributions Π ( · | γ ), γ ∈ Γ ⊆ R ℓ , on the parameter space Θ equipped with a semi-metric d( ·, ... Voir le document complet

6

Rates of convergence for robust geometric inference

Rates of convergence for robust geometric inference

... that the rate of convergence of ∆ n, k n ,r (x) directly depends on the regularity at zero of F x,r −1 ...be the relevant quantity to describe precisely how difficult is a ... Voir le document complet

38

Convergence rates of the Heavy-Ball method with Lojasiewicz property

Convergence rates of the Heavy-Ball method with Lojasiewicz property

... on the real global µ parameter may be irrelevant in some situations since the real µ may be much lower than ˜ ...family of optimisation problems with sparsity con- straints, the trajectory ... Voir le document complet

48

On the Convergence Rates of Proximal Splitting Algorithms

On the Convergence Rates of Proximal Splitting Algorithms

... i=1 h i ◦ L i (x) , (1.2) where f ∈ Γ 0 ( H) has β −1 –Lipschitz continuous gradient, h i ∈ Γ 0 ( H), L i is a bounded linear operator, Γ 0 ( H) is the class of lower semicontinuous, proper, convex ... Voir le document complet

5

Convergence of a ferromagnetic film model

Convergence of a ferromagnetic film model

... derivation of reduced models in which the thickness η vanishes has been the aim of a few mathematical papers in the last decade [2, 6, 8, ...means of Γ-convergence from ... Voir le document complet

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