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The Random Inconsistency for Different Size Matrix

On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

... a random binary matrix, and considers the recovery of such submatrices in the presence of ...principal matrix, and the noise, respectively, are independent Bernoulli(p) random ...the ...

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On inconsistency of a pairwise comparison matrix

On inconsistency of a pairwise comparison matrix

... dom inconsistency index, whose value varies with the order of pairwise comparison ...three-dimensional random pairwise comparison matrix and the exact value of the mean and variance of the cited ...

8

Paule-Mandel estimators for network meta-analysis with random inconsistency effects

Paule-Mandel estimators for network meta-analysis with random inconsistency effects

... exhibit inconsistency, where direct and different forms of indirect evidence are not in agreement with each other, even after allowing for between ‐study ...with random inconsistency effects ...

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Paule Mandel estimators for network meta analysis with random inconsistency effects

Paule Mandel estimators for network meta analysis with random inconsistency effects

... exhibit inconsistency, where direct and different forms of indirect evidence are not in agreement with each other, even after allowing for between ‐ study ...with random inconsistency effects ...

20

Schur Averages in Random Matrix Ensembles

Schur Averages in Random Matrix Ensembles

... Often matrix models of interest, which can be identified with insertions in well understood ensembles, cannot be computed ...the size of the ensemble is ...

122

Construction of random perfect phylogeny matrix

Construction of random perfect phylogeny matrix

... with different evolutionary ...under different evolutionary scenarios and also evaluate and compare different methods for haplotype ...a random perfect phylogeny matrix (PPM) with ...

8

Comparative Analysis of AI Techniques to Correct the Inconsistency in the Analytic Hierarchy Process Matrix

Comparative Analysis of AI Techniques to Correct the Inconsistency in the Analytic Hierarchy Process Matrix

... 3.3 Proposed Method of BPN A neural network is built using three layers, the input layer has one neuron for each element of the input vector to be adapted to the different orders of the matrices which we work, ...

9

A random matrix theory approach to complex networks

A random matrix theory approach to complex networks

... through Random Matrix Theory ...of matrix ensem- bles. The different ways for dealing with the spectral distribution of random matrices are shown and the connections and the differences ...

102

On the Distribution of a Saddle Point Value in a Random Matrix

On the Distribution of a Saddle Point Value in a Random Matrix

... Since the integrand is given in terms of the unspecified distribution function F(x), the expansions, and the terms a j in solution series for x in terms of u, are all expressed via the derivatives of this function, all ...

8

Random matrix theory for advanced communication systems.

Random matrix theory for advanced communication systems.

... of different types of wireless access ...large random matrix theory which are able to take these characteristics into ...several different scenarios of practical interest, such as the ...

220

Minimal and random generation of permutation and matrix groups

Minimal and random generation of permutation and matrix groups

... from different components of L, then we need to reduce the size of their combined set of generators by 1 in order to avoid exceeding the bound for d G ...

25

Random matrix approaches to open quantum systems

Random matrix approaches to open quantum systems

... 3.1 Points of interest Consider a particle moving through a scattering region with a spatially varying po- tential energy V , as sketched for a simple one-dimensional setting in Fig. 3.1. The corresponding Hamiltonian is ...

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Two new methods to fit models for network meta-analysis with random inconsistency effects

Two new methods to fit models for network meta-analysis with random inconsistency effects

... covariance matrix of the estimated effects, where we use the prior means (instead of the point estimates) of the unknown variance compo- nents in this classical ...

14

Probability. A random sample is selected in such a way that every different sample of size n has an equal chance of selection.

Probability. A random sample is selected in such a way that every different sample of size n has an equal chance of selection.

... The Rare Event Rule for Inferential Statistics If under a given assumption, the probability of a particular observed event is extremely small, we conclude that the assumption is probably not correct. Here is an example ...

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Random Matrix Approach to Correlation Matrix of Financial Data (Mexican Stock Market Case)

Random Matrix Approach to Correlation Matrix of Financial Data (Mexican Stock Market Case)

... And it holds that E + = + ( 1 γ ) 2 . This interpretation stands for econometrics; it means that there is a relation among eigenvalues of random matrices to correlated matrices. As one can see (Figure 6), is a ...

10

Random matrix theory of the proximity effect in disordered wires

Random matrix theory of the proximity effect in disordered wires

... The formation of the peak is due to the quasiparticles re- flected from the superconductor. When the distance x increases beyond the mean free path l a competing effect takes place. That is the suppression of the ...

12

Random Feature Mapping with Signed Circulant Matrix Projection

Random Feature Mapping with Signed Circulant Matrix Projection

... In this subsection, we compare RKS, Fastfood and SCRF with non-linear SVMs on 9 well-known classification bench- mark datasets of size ranging from 1,000 to 60,000 with di- mensionality ranging from 22 to 3,072. ...

7

Random matrix theor y: Dyson Brownian motion

Random matrix theor y: Dyson Brownian motion

... a matrix M is called the spectrum of M and denoted by Spec(M ...square matrix of dimension d, there are d eigenvalues (although they may not all be ...a matrix are extremely important for many ...

14

Hierarchical Beamforming in CRAN Using Random Matrix Theory

Hierarchical Beamforming in CRAN Using Random Matrix Theory

... challenge, different proposals can be found in the literature suggesting compressive CSI acquisition, front- haul compression strategies or sparse precoding, see [3] and references ...for different ...
Random matrix approach to cross correlations in financial data

Random matrix approach to cross correlations in financial data

... @55,56#—i.e., only a few stocks contribute to them. The presence of vectors with large values of I k also arises in the theory of Anderson localization @57#. In the context of localization theory, one frequently finds ...

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