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  • Search: subject:"Sample correlation matrix"
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Subject
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Sample correlation matrix 2 (Left) Cholesky square root of a matrix 1 Brownian bridge 1 Chen–Stein method 1 Coherence 1 Correlation coefficient 1 Cramér–Wold device 1 Domain of attraction of the normal law 1 Error sample correlation matrix 1 Full random vector 1 Generalized domain of attraction of the d-variate normal law 1 Goodness-of- t process 1 Limiting distribution 1 Maximum 1 Pareto distribution 1 Phase transition 1 Random matrix 1 Slowly varying function at infinity 1 Spherically symmetric random vector 1 Symmetric positive definite square root of a matrix 1 VARMA(p 1 Weak convergence 1 d-variate Student t-statistic 1 q) models 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 3
Author
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Jiang, Tiefeng 1 Martsynyuk, Yuliya V. 1 Nguyen, Huong 1 Tony Cai, T. 1 Velilla, Santiago 1
Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Journal of Multivariate Analysis 2 Statistics and Econometrics Working Papers 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A basic goodness-of-fit process fro VARMA (p,q) models
Velilla, Santiago; Nguyen, Huong - Departamento de Estadistica, Universidad Carlos III de … - 2011
This Working Paper presents some preliminary results for a new goodness-of- t method for VARMA(p,q) models. Relations between least squares residuals and true errors are re-examined, and a new family of statistics is proposed. A new goodness-of- t process is also suggested, that can be seen as...
Persistent link: https://www.econbiz.de/10010642986
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On the generalized domain of attraction of the multivariate normal law and asymptotic normality of the multivariate Student t-statistic
Martsynyuk, Yuliya V. - In: Journal of Multivariate Analysis 114 (2013) C, pp. 402-411
It is well-known that if a random vector X is in the generalized domain of attraction of the multivariate normal law (GDAN), then all its components are in the domain of attraction of the normal law (DAN) and, moreover, the Euclidean inner products of X with all the nonrandom vectors of unit...
Persistent link: https://www.econbiz.de/10010594224
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Phase transition in limiting distributions of coherence of high-dimensional random matrices
Tony Cai, T.; Jiang, Tiefeng - In: Journal of Multivariate Analysis 107 (2012) C, pp. 24-39
The coherence of a random matrix, which is defined to be the largest magnitude of the Pearson correlation coefficients between the columns of the random matrix, is an important quantity for a wide range of applications including high-dimensional statistics and signal processing. Inspired by...
Persistent link: https://www.econbiz.de/10011041957
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