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[PDF] Top 20 Large scale reduction principle and application to hypothesis testing

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Large scale reduction principle and application to hypothesis testing

Large scale reduction principle and application to hypothesis testing

... The application of wavelet–based methods for the estimation of the memory parameter of non-Gaussian stochastic processes has been much less treated in the ...Bardet and Tudor (2010) is considered the case ... Voir le document complet

39

A Reduced Basis Framework: Application to large scale non-linear multi-physics problems

A Reduced Basis Framework: Application to large scale non-linear multi-physics problems

... associated to the reduced basis (scalars, dense vectors and matrices, parameter space samplings) are actually duplicated on each ...approximations and thus the reduced basis functions are in fact ... Voir le document complet

27

A Large Deviation Principle at play in Large-Scale Structure cosmology

A Large Deviation Principle at play in Large-Scale Structure cosmology

... Bernardeau and Paulo Reimberg Sorbonne Universit´ es, UPMC Univ Paris 6 et CNRS, UMR 7095, Institut d’Astrophysique de Paris, 98 bis bd Arago, 75014 Paris, France and CEA - CNRS, UMR 3681, Institut de ... Voir le document complet

6

Application of multivariable design techniques to robust control of a large-scale systems

Application of multivariable design techniques to robust control of a large-scale systems

... loop-shaped compensator may be presence of two and one-half percent open-loop natural formed, and the closed-loop poles and d to e transfer frequency parametric unce[r] ... Voir le document complet

12

On Hypothesis Testing for Poisson Processes. Regular Case

On Hypothesis Testing for Poisson Processes. Regular Case

... corresponds to different types of regularity/singularity of the function λ (ϑ, ...The hypothesis testing problems (or closely related properties of the like- lihood ratio) for inhomogeneous Poisson ... Voir le document complet

24

Distributed Hypothesis Testing Over Multi-Access Channels

Distributed Hypothesis Testing Over Multi-Access Channels

... general hypothesis testing problem over a noisy point-to-point channel, ...transmitter and general joint distributions under the two hypotheses ...Amari’s hypothesis testing ... Voir le document complet

7

Application of Pontryagin's minium principle to filtering problems

Application of Pontryagin's minium principle to filtering problems

... First, we shall reformulate the stochastic problem as a deterministic problem; then, we shall apply the matrix minimum principle to obtain the optimal control.. We s[r] ... Voir le document complet

108

On Hypothesis Testing for Poisson Processes. Singular Cases

On Hypothesis Testing for Poisson Processes. Singular Cases

... the asymptotic behavior of the Score Function test (SFT), of the General Likelihood Ratio test (GLRT), of the Wald test (WT) and of two Bayes tests (BT1 and BT2). It was shown that the tests SFT, GLRT ... Voir le document complet

39

Distributed Hypothesis Testing Over a Noisy Channel

Distributed Hypothesis Testing Over a Noisy Channel

... distributed hypothesis testing problem where a sensor describes its collected information to a remote decision center over a noisy ...binary hypothesis (H = 0 or H = 1) that determines the ... Voir le document complet

7

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity

... for testing stationar- ity relatively to an observation ...null hypothesis of stationarity. As a further contribution to the field, we demonstrate the strict-sense stationarity of surrogate ... Voir le document complet

5

Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing

Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing

... referred to as fixed-sample-size (FSS) ...sequentially and are processed one after the other ...for testing two simple ...compared to all the pro- cedures including FSS tests achieving the ... Voir le document complet

17

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management

... Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management Pierre Carpentier, Jean-Philippe Chancelier, Michel de Lara, Franç[r] ... Voir le document complet

21

Distributed Hypothesis Testing with Variable-Length Coding

Distributed Hypothesis Testing with Variable-Length Coding

... distributed hypothesis testing-against- independence problem when the expected rate of the sensor- detector link is ...constraint and where a strong converse holds, here the optimal exponent depends ... Voir le document complet

6

Distributed Hypothesis Testing based on Unequal-Error Protection Codes

Distributed Hypothesis Testing based on Unequal-Error Protection Codes

... UMMARY AND D ISCUSSION The paper proposes coding and testing schemes for dis- tributed binary hypothesis testing over DMCs and MACs based on hybrid coding (in case of MAC) ... Voir le document complet

34

Testing the Finch Hypothesis on Green OA Mandate Ineffectiveness

Testing the Finch Hypothesis on Green OA Mandate Ineffectiveness

... contrary to the Finch Hypothesis, Green Open Access Mandates do have a major effect, and the stronger the mandate, the stronger the effect (the Liege ID/OA mandate , linked to research ... Voir le document complet

7

Hypothesis Testing Over the Two-Hop Relay Network

Hypothesis Testing Over the Two-Hop Relay Network

... suffices to send quantization information about X n from the transmitter to the relay and, independently thereof, to send quantization information about Y n from the relay to the ... Voir le document complet

24

Some Results on the Vector Gaussian Hypothesis Testing Problem

Some Results on the Vector Gaussian Hypothesis Testing Problem

... The described single-sensor single-detector problem has previously been studied in [1]–[4] for various joint distribu- tions on the i.i.d. observations. In particular, [4] identified the largest type-II exponent that is ... Voir le document complet

6

Reduction of Large Training Set by Guided Progressive Sampling: Application to Neonatal Intensive Care Data

Reduction of Large Training Set by Guided Progressive Sampling: Application to Neonatal Intensive Care Data

... generate large volumes of data - about 1 MB per patient per ...such large volumes are difficult to analyze, so data mining or machine learning techniques are often used to learn classifiers ... Voir le document complet

3

Principle and Experimental Validation of a new Apparatus Allowing Large Deformation in Pure Bending: Application to thin Wire

Principle and Experimental Validation of a new Apparatus Allowing Large Deformation in Pure Bending: Application to thin Wire

... experimental and theoretical approaches are well documented in the literature [1, 2, 3], and are still getting significant attention ...allow to identify the material moment-curvature ...at ... Voir le document complet

17

Large deviation principle for the cutsets and lower large deviation principle for the maximal flow in first passage percolation

Large deviation principle for the cutsets and lower large deviation principle for the maximal flow in first passage percolation

... n and Γ 2 n in Ω n as follows φ n (Γ 1 , Γ 2 , Ω) = inf V (E n ) : E n ∈ C n (Γ 1 , Γ 2 , Ω) ...due to the max-flow min-cut theorem that states that the study of the minimal capacity of a cutset is the ... Voir le document complet

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