The Latency Performance Analysis and Effective Relay Selection for Visible Light Networks [PDF]
In visible light communication (VLC), the precise latency evaluation of wireless access networks and the efficient forwarding strategy of core networks are the crux for end-to-end reliability provisioning. Leveraging martingale theory, an elegant latency-
Baozhu Yu, Xiangyu Liu
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Martingales and the characteristic functions of absorption time on bipartite graphs [PDF]
Evolutionary graph theory investigates how spatial constraints affect processes that model evolutionary selection, e.g. the Moran process. Its principal goals are to find the fixation probability and the conditional distributions of fixation time, and ...
Travis Monk, André van Schaik
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An exact bound for tail probabilities for a class of conditionally symmetric bounded martingales
We consider the class, say ℳn,sym, of martingales Mn = X1 + ⋯ + Xn with conditionally symmetric bounded differences Xk such that |Xk | ≤ 1. We find explicitly a solution, say Dn(x), of the variational problem Dn(x) ≝ sup Mn ∈ℳn,sym ℙ {Mn ≥ x}.
Dainius Dzindzalieta
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Exponential inequalities for the supremum of some counting processes and their square martingales
We establish exponential inequalities for the supremum of martingales and square martingales obtained from counting processes, as well as for the oscillation modulus of these processes. Our inequalities, that play a decisive role in the control of errors
Le Guével, Ronan
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Conformable Fractional Martingales and Some Convergence Theorems
In this paper, we define conformable Lebesgue measure and conformable fractional countable martingales. Some convergence theorems are proved.
Ma’mon Abu Hammad
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In this paper, we focus on a family of backward stochastic differential equations (BSDEs) with subdifferential operators that are driven by infinite-dimensional martingales. We shall show that the solution to such infinite-dimensional BSDEs exists and is
Pei Zhang +2 more
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On the martingale property of certain local martingales [PDF]
Appendix on local time of diffusions added; 27 pages, 1 figure; to appear in ...
Mijatovic, A, Urusov, M
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Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks
We state concentration inequalities for the output of the hidden layers of a stochastic deep neural network (SDNN), as well as for the output of the whole SDNN.
Michele Caprio, Sayan Mukherjee
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A Berry–Esseen bound of order $\protect \frac{1}{\protect \sqrt{n}} $ for martingales
Renz [13] has established a rate of convergence $1/\sqrt{n}$ in the central limit theorem for martingales with some restrictive conditions. In the present paper a modification of the methods, developed by Bolthausen [2] and Grama and Haeusler [6], is ...
Wu, Songqi +3 more
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Asymptotic normality of recursive algorithms via martingale difference arrays [PDF]
We propose martingale central limit theorems as an tool to prove asymptotic normality of the costs of certain recursive algorithms which are subjected to random input data. The recursive algorithms that we have in mind are such that if input data of size
Werner Schachinger
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