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Uniform strong consistency of robust estimators
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Strong universal consistency of neural network classifiers
IEEE Transactions on Information Theory, 1993Summary: In statistical pattern recognition a classifier is called universally consistent if its error probability converges to the Bayes-risk as the size of the training data grows, for all possible distributions of the random variable pair of the observation vector and its class.
Faragó, András, Lugosi, Gábor
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Strong cache consistency in integration systems
2010 International Conference on Mechanical and Electrical Technology, 2010Nowadays, a common problem to which many corporations or organizations face is how to easily and uniformly access over multiple, disparate information sources which includes database, object store, knowledge bases, file system, digital libraries, information retrieval system, and electronic mail system.
null Zhang Wei, null Xiong Yongchun
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Kernel estimates under association: strong uniform consistency
Statistics & Probability Letters, 1991A strictly stationary process \(X_ 1,X_ 2,\dots\) is called associated if for any functions \(g_ 1,g_ 2\), increasing in each variable, the r.v. \(g_ 1(X_{i_ 1},\dots,X_{i_ n})\), \(g_ 2(X_{i_ 1},\dots,X_{i_ n})\) are positively correlated for any choice of \(X_{i_ 1},\dots,X_{i_ n}\).
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Strong consistency of FSD detection schemes
[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 2002Recently, a fast signal subspace decomposition technique (FSD) suitable for parallel processing which achieves a significant reduction in computational complexity for large arrays with few sources was developed. Two new detection schemes used in conjunction with the FSD algorithm are presented.
G. Xu, R.H. Roy, T. Kailath
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Strong consistency under the Koziol—Green model
Statistics & Probability Letters, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Strong, Balanced, and Consistent Lattices
1991FAIGLE [1980 b] introduced the notion of a strong join-irreducible in lattices of finite length (s. Definition 16.2 below). Using the concepts a′ and a+ (s. Section 10) we present two extensions of Faigle’s concept of a strong join-irreducible, namely the notion of a strong element and the notion of a strict element.
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Uniform strong consistency of sample quantiles
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Verifying Strong Eventual Consistency in $��$-CRDTs
202066 pages, 27 figures.
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Econometric Theory, 2000
A strong consistency result for heteroskedasticity and autocorrelation consistent covariance matrix estimators is proven in this paper. In addition, an error in a weak consistency proof for such estimators in the econometrics literature and a correction of that result is provided.
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A strong consistency result for heteroskedasticity and autocorrelation consistent covariance matrix estimators is proven in this paper. In addition, an error in a weak consistency proof for such estimators in the econometrics literature and a correction of that result is provided.
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