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This paper focuses on estimating the invariant density function $f_X$ of the strongly mixing stationary process $X_t$ in the multiplicative measurement errors model $Y_t = X_t U_t$, where $U_t$ is also a strongly mixing stationary process. We propose
Externí odkaz:
http://arxiv.org/abs/2403.13410
Despite the great potential of Federated Learning (FL) in large-scale distributed learning, the current system is still subject to several privacy issues due to the fact that local models trained by clients are exposed to the central server. Conseque
Externí odkaz:
http://arxiv.org/abs/2205.05611
Quantum annealing (QA) that encodes optimization problems into Hamiltonians remains the only near-term quantum computing paradigm that provides sufficient many qubits for real-world applications. To fit larger optimization instances on existing quant
Externí odkaz:
http://arxiv.org/abs/2205.05004
Ranking nodes based on their centrality stands a fundamental, yet, challenging problem in large-scale networks. Approximate methods can quickly estimate nodes' centrality and identify the most central nodes, but the ranking for the majority of remain
Externí odkaz:
http://arxiv.org/abs/2203.01746
Akademický článek
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Given a weighted hypergraph $\mathcal{H}(V, \mathcal{E} \subseteq 2^V, w)$, the approximate $k$-cover problem seeks for a size-$k$ subset of $V$ that has the maximum weighted coverage by \emph{sampling only a few hyperedges} in $\mathcal{E}$. The pro
Externí odkaz:
http://arxiv.org/abs/1901.07928
Autor:
Thai, Phuc
VCU Theses and Dissertations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e056a9ae4311f09c765141a9a04f6971
Publikováno v:
Nutrition and health.
Background Chronic noncommunicable diseases (NCDs) associated with excess weight as a significant risk factor, but few studies have been sufficient enough to examine the magnitude of excess weight of Vietnamese adults. This review aimed to provide a
Autor:
Dang Duc Trong, Thai Phuc Hung
Publikováno v:
Communications in Statistics - Simulation and Computation. 52:925-944
We study the parameter estimation for ergodic diffusion process Xt from perturbed observations Y t j = X t j + e t j , j = 1 , … , n where t 1 , … , t n are observation times and the noise e t is a...
Autor:
Trong, Dang Duc1,2 (AUTHOR), Hung, Thai Phuc1,2,3 (AUTHOR)
Publikováno v:
Communications in Statistics: Simulation & Computation. 2023, Vol. 52 Issue 3, p925-944. 20p.