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[PDF] Top 20 Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices

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Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices

Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices

... polynomial chaos expansion is widely used in com- puter experiments. For example, it is a powerful tool to estimate Sobolsensitivity ...consider generalized chaos ... Voir le document complet

33

Bayesian sparse polynomial chaos expansion for global sensitivity analysis

Bayesian sparse polynomial chaos expansion for global sensitivity analysis

... Polynomial chaos expansions are frequently used by engineers and modellers for uncertainty and sensitivity analyses of computer ...polynomial chaos expansion of a given ... Voir le document complet

43

Generalized Hoeffding-Sobol Decomposition for Dependent Variables - Application to Sensitivity Analysis

Generalized Hoeffding-Sobol Decomposition for Dependent Variables - Application to Sensitivity Analysis

... of Sobol decomposition in the case of independent ...by expansions in terms of some suitable basis functions ...contribution and a structural one of a set of ...procedure, and then to perform ... Voir le document complet

35

Sensitivity analysis via Karhunen-Loève expansion of a random field model: estimation of Sobol' indices and experimental design

Sensitivity analysis via Karhunen-Loève expansion of a random field model: estimation of Sobol' indices and experimental design

... Polynomial Chaos Expansions (PCE) correspond to tensor products of univariate polynomial models P i (x i ) , each P i (·) belonging to a family of orthogonal polynomials with respect to µ i , and ... Voir le document complet

33

Replication procedure for grouped Sobol' indices estimation in dependent uncertainty spaces

Replication procedure for grouped Sobol' indices estimation in dependent uncertainty spaces

... B for an illustration of the method). 3.2. Replication method for closed second-order Sobolindices estimation In the case of closed second-order Sobolindices estimation, the ... Voir le document complet

40

'Lion and man' : upper and lower bounds

'Lion and man' : upper and lower bounds

... archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...teaching and research institutions in France or abroad, or from public or private ... Voir le document complet

15

On Lower Bounds for Non Standard Deterministic Estimation

On Lower Bounds for Non Standard Deterministic Estimation

... look for the best possible trade-off between tightness, regular- ity conditions and computational cost, in the choice of a MLB for a given non-standard estimation ...CRB and the BB can be ... Voir le document complet

17

Lower bounds for non standard deterministic estimation

Lower bounds for non standard deterministic estimation

... Index Terms— Deterministic parameter estimation, estimation error lower bounds 1. INTRODUCTION As introduced in [1, p53], a model of the general estimation prob- lem has the following four components: 1) a ... Voir le document complet

6

Lower bounds for the Steklov eigenvalue problem

Lower bounds for the Steklov eigenvalue problem

... spectrum for a dumbbell domain in two ...compact for non-Lipschitz domains. Furthermore, we present a lower bound to the first non-zero eigenvalue σ 1 of the Steklov problem for domains having ... Voir le document complet

59

Randomized pick-freeze for sparse Sobol indices estimation in high dimension

Randomized pick-freeze for sparse Sobol indices estimation in high dimension

... see for instance [28, 10, 25, 16] and references ...between Sobol index estimation via pick-freeze estimators and sparse linear regression ...procedure for Sobol indices ... Voir le document complet

30

New Lower Bounds for ϵ-nets

New Lower Bounds for ϵ-nets

... J Lower bounds. It was conjectured for a long time [14] that most geometrically defined range spaces of bounded Vapnik-Chervonekis dimension have “linear-sized” -nets, ...superlinear!) lower ... Voir le document complet

16

Lower bounds for k-distance approximation

Lower bounds for k-distance approximation

... upper and lower bounds for the number of cells in an order-k Voronoi diagrams, and those bounds can be translated into bounds on the number of sites that one needs to use ... Voir le document complet

16

Iterative estimation of Sobol’ indices based on replicated designs

Iterative estimation of Sobol’ indices based on replicated designs

... by Sobol’ [1] relies on the calculation of sensitivity measures called Sobol’ ...the Sobolindices which are scalars between 0 and ...first-order indices that estimate ... Voir le document complet

28

MSE lower bounds for deterministic parameter estimation

MSE lower bounds for deterministic parameter estimation

... INTRODUCTION Lower bounds on the mean square error (MSE) in estimating a set of deterministic parameters from noisy observations provide the best performance of any estimators in terms of the ...ing ... Voir le document complet

5

Lower and upper bounds for deterministic convergecast with labeling schemes

Lower and upper bounds for deterministic convergecast with labeling schemes

... schedule and therefore a higher number of potential collisions may occur during the algorithm ...address for the first time the deterministic convergecast problem with labeling schemes in arbitrary networks ... Voir le document complet

21

Multidimensional Generalized Gini Indices

Multidimensional Generalized Gini Indices

... the generalized Gini social evaluation orderings for one-dimensional distributions to the multi-attributes ...axioms and a separability assumption are ...univariate generalized Gini social ... Voir le document complet

35

Lower Bounds and Algorithms for Dominating Sets in Web Graphs

Lower Bounds and Algorithms for Dominating Sets in Web Graphs

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des Vi[r] ... Voir le document complet

30

Generalized gaussian bounds for discrete convolution powers

Generalized gaussian bounds for discrete convolution powers

... . (5) The main difference between [ DSC14 ] and the present work is that we allow F (exp(i ξ)) to be a trigono- metric rational function of ξ rather than just a trigonometric polynomial in ξ. In other words, we ... Voir le document complet

35

Upper and Lower Bounds for Competitive Online Routing on Delaunay Triangulations

Upper and Lower Bounds for Competitive Online Routing on Delaunay Triangulations

... a lower bound on the length of the shortest path from s to t in G, the routing ratio is an upper bound on the competitive ...19] for instance) and even when it is, a small competitive ratio may not ... Voir le document complet

18

Practical lower and upper bounds for the Shortest Linear Superstring

Practical lower and upper bounds for the Shortest Linear Superstring

... asks for a superstring of P of minimal ..., and in bioinformatics where it models the first step of genome ...(NP-hard) and to closely approximate ...upper and a lower bound on the ... Voir le document complet

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