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Strong Consistency in Nonlinear Regression
Econometric Theory, 1990Sufficient conditions are given to ensure the existence of a sequence of strongly consistent estimators of an unknown parameter for a nonlinear regression model. The parameter space includes all separable metric spaces but is not assumed to be compact.
Richardson, G. D., Bhattacharyya, B. B.
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2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE), 2019
Secret sharing is a cryptographic primitive used to securely distribute a secret value S among n participants such that only predetermined subsets of these participants (called access sets) can later reconstruct S. Such a scheme is said to be secure in the information theoretic setting if an adversary with unlimited computational power cannot reduce ...
Louis Cianciullo +3 more
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Secret sharing is a cryptographic primitive used to securely distribute a secret value S among n participants such that only predetermined subsets of these participants (called access sets) can later reconstruct S. Such a scheme is said to be secure in the information theoretic setting if an adversary with unlimited computational power cannot reduce ...
Louis Cianciullo +3 more
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On Strong Consistency of Model Selection in Classification
IEEE Transactions on Information Theory, 2006This paper considers model selection in classification. In many applications such as pattern recognition, probabilistic inference using a Bayesian network, prediction of the next in a sequence based on a Markov chain, the conditional probability P(Y=y|X=x) of class yisinY given attribute value xisinX is utilized.
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Strong consistency of Lasso estimators
Sankhya A, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chatterjee, A., Lahiri, S. N.
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Strong consistency of the distributed stochastic gradient algorithm
2019 IEEE 58th Conference on Decision and Control (CDC), 2019With the development of computer science and communication, the sensor networks are widely applied due to the advantages of flexibility, fault tolerance, and ease of deployment. In this paper, a distributed stochastic gradient (SG) algorithm is proposed where the distributed estimators are aimed to collectively estimate an unknown time-invariant ...
Die Gan, Zhixin Liu 0003
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Strong consistence of recursive identification for Wiener systems
Automatica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiao-Li Hu, Han-Fu Chen
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Strong consistency of regression function estimates
Kybernetika, 1995Summary: Let \(m_n(x)\) and \(M_n (x)\) be a partitioning estimate and the kernel estimate, respectively, of a regression function \(m(x) = E(Y \mid X=x)\) for the i.i.d. sample \((X_1,Y_1), \dots, (X_n,Y_n)\). Under the condition \(E|Y |^p < \infty\), where \(p>1\), and some conditions on the partition and the kernel function, the strong \(L_1 ...
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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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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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Strong and Weak Memory Consistencies.
J. Res. Pract. Inf. Technol., 2001Journal of Research and Practice in Information Technology ; 33 ; 4 ; 321 ...
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