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Equivalent Conditions of Complete p-th Moment Convergence for Weighted Sum of ND Random Variables under Sublinear Expectation Space

open access: yesMathematics, 2023
We investigate the complete convergence for weighted sums of sequences of negative dependence (ND) random variables and p-th moment convergence for weighted sums of sequences of ND random variables under sublinear expectation space.
Peiyu Sun, Dehui Wang, Xili Tan
doaj   +1 more source

Private Weighted Sum Aggregation [PDF]

open access: yesIEEE Transactions on Control of Network Systems, 2022
As large amounts of data are circulated both from users to a cloud server and between users, there is a critical need for privately aggregating the shared data. This paper considers the problem of private weighted sum aggregation with secret weights, where an aggregator wants to compute the weighted sum of the local data of some agents.
Andreea B. Alexandru, George J. Pappas
openaire   +2 more sources

Sums of weighted averages of gcd-sum functions, II [PDF]

open access: yesRocky Mountain Journal of Mathematics, 2020
In this paper, we establish the following two identities involving the Gamma function and Bernoulli polynomials, namely $$ \sum_{k\leq x}\frac{1}{k^s} \sum_{j=1}^{k^s}\log \left(\frac{j}{k^s}\right) \sum_{\substack{d|k \\ d^{s}|j}}f* (d) \quad {\rm and } \quad \sum_{k\leq x}\frac{1}{k^s}\sum_{j=0}^{k^{s}-1} B_{m}\sum_{\substack{d|k \\ d^{s}|j}} f ...
Kiuchi, Isao, Saad Eddin, Sumaia
openaire   +3 more sources

Evaluations of a Weighted Average of Gauss Sums

open access: yesJournal of Mathematics, 2021
In this paper, we perform a further investigation for a weighted average of Gauss sums. By making use of some properties of the cotangent function and the Bernoulli polynomials, we explicitly evaluate the weighted average of Gauss sums in terms of the ...
Wen-Kai Shao, Yuan He
doaj   +1 more source

Ranking by weighted sum [PDF]

open access: yesEconomic Theory, 2020
AbstractWhen choosing an alternative that has multiple attributes, it is common to form a weighted sum ranking. In this paper, we provide an axiomatic analysis of the weighted sum criterion using a general choice framework. We show that a preference order has aweakweighted sum representation if it satisfies three basic axioms: Monotonicity, Translation
Tapan Mitra, Kemal Ozbek
openaire   +3 more sources

Equivalent Conditions of Complete pth Moment Convergence for Weighted Sums of I. I. D. Random Variables under Sublinear Expectations

open access: yesDiscrete Dynamics in Nature and Society, 2021
We investigate the complete pth moment convergence for weighted sums of independent, identically distributed random variables under sublinear expectations space.
Mingzhou Xu, Kun Cheng
doaj   +1 more source

Sums of weighted averages of gcd-sum functions [PDF]

open access: yesInternational Journal of Number Theory, 2018
Let [Formula: see text] be the greatest common divisor of the integers [Formula: see text] and [Formula: see text]. In this paper, we give several interesting asymptotic formulas for weighted averages of the [Formula: see text]-sum function [Formula: see text] and the function [Formula: see text] for any positive integers [Formula: see text] and ...
Kiuchi, Isao, Saad Eddin, Sumaia
openaire   +1 more source

On weak law of large numbers for sums of negatively superadditive dependent random variables

open access: yesComptes Rendus. Mathématique, 2020
In this paper, we extend Kolmogorov–Feller weak law of large numbers for maximal weighted sums of negatively superadditive dependent (NSD) random variables.
Naderi, Habib   +3 more
doaj   +1 more source

Better Sum Estimation via Weighted Sampling [PDF]

open access: yesACM Transactions on Algorithms, 2022
Given a large set U where each item a ∈ U has weight w ( a ), we want to estimate the total weight \(W=\sum _{a∈ U} w(a)\) to within factor of 1± ɛ with some ...
Lorenzo Beretta, Jakub Tětek
openaire   +4 more sources

Upper-bound estimates for weighted sums satisfying Cramer’s condition

open access: yesLietuvos Matematikos Rinkinys, 2023
Let S = ω1S1 + ω2S2 + ⋯ + ωNSN. Here Sj is the sum of identically distributed random variables and ωj  > 0 denotes weight. We consider the case, when Sj  is the sum of independent random variables satisfying Cramer’s condition.
Vydas Čekanavičius, Aistė Elijio
doaj   +3 more sources

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