Results 321 to 330 of about 377,929 (357)

Closest Empirical Distribution Estimation

Econometrica, 1983
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Distributed estimation of betweenness centrality

2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015
Betweenness centrality is a fundamental centrality measure that quantifies how important a node or an edge is, within a network, based on how often it lies on the shortest paths between all pairs of nodes. In this paper, we develop a scalable distributed algorithm, which enables every node in a network to estimate its own betweenness and the ...
Wei Wang 0069, Choon Yik Tang
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Distributed parameter estimation in networks

49th IEEE Conference on Decision and Control (CDC), 2010
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a local identification problem, in the sense that it cannot consistently estimate the parameter in isolation. We prove that, despite local identification problems, if agents update
Kamiar Rahnama Rad, Alireza Tahbaz-Salehi   +1 more
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Distributed Diffusion-scheme ECME Estimator for Distributed Estimation in Wireless Networks

2016
This paper presents Distributed Diffusion Expectation Conditional Maximization Either (DDECME) estimator for Gaussian mixture over wireless sensor network. The main novelty of DDECME estimator with respect to the existed schemes resides in the fact that the propagation of information across the network consumes less time to be embedded in the iterative
Xiaofei Li, Di He, Ching-Jer Hung
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On the Asymptotic Distribution of the Estimates of the Derivatives of a Distribution Function

SIAM Journal on Applied Mathematics, 1978
Suppose the kth derivative $( {k\geqq 1} )$ of a distribution function $F^{( k )} ( x )$ is to be estimated at p distinct points $x_m ( {m = 1,2 \cdots ,p} )$. Let $\hat F^{( k )} ( {x_m } ) = ( {2h_n } )^{ - k} $\[ \sum\limits_{j = 0}^k {( - 1 )}^j \left( {\begin{array}{*{20}c} k \\ j \\ \end{array} } \right) F_n ( x_m + (k - 2j ) h_n )\quad ( m = 1,2,
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An Estimate of the Compounding Distribution of a Compound Poisson Distribution

Theory of Probability & Its Applications, 1963
The distribution of a random variable X is called a compound Poisson distribution if ${\bf P}\{ X = n\} = \int_0^\infty {\frac{{\lambda ^n }} {{n1}}} \varepsilon ^{ - \lambda } dG(\lambda ),$. where $n = 0,1,2, \cdots $ and $G(\lambda )$ is a distribution function (weight function) such that $G( + 0) = 0$.
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Estimation of Distributed Lags

International Economic Review, 1970
Dhrymes, Phoebus J, Klein, Lawrence R, Steiglitz, Kenneth   +2 more
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On the Estimation of a Distribution Function

Theory of Probability & Its Applications, 1970
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Distributed Secure State Estimation and Control for CPSs Under Sensor Attacks

IEEE Transactions on Cybernetics, 2020
Wei Ao, Yongduan Song, Changyun Wen
exaly  

Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise

Chemical Engineering Research and Design, 2023
Xiaojie Li, Yan Qin, Xunyuan Yin
exaly